Journal articles: 'Social group discovery'

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Li, Wei, and Sisi Zlatanova. "Significant Geo-Social Group Discovery over Location-Based Social Network." Sensors 21, no. 13 (July 2, 2021): 4551. http://dx.doi.org/10.3390/s21134551.

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Geo-social community detection over location-based social networks combining both location and social factors to generate useful computational results has attracted increasing interest from both industrial and academic communities. In this paper, we formulate a novel community model, termed geo-social group (GSG), to enforce both spatial and social factors to generate significant computational patterns and to investigate the problem of community detection over location-based social networks. Specifically, GSG detection aims to extract all group-venue clusters, where users are similar to each other in the same group and they are located in a minimum covering circle (MCC) for which the radius is no greater than a distance threshold γ. Then, we present a GSGD algorithm following a three-step paradigm to enumerate all qualified GSGs in a large network. We propose effective optimization techniques to efficiently enumerate all communities in a network. Furthermore, we extend a significant GSG detection problem to top-k geo-social group (TkGSG) mining. Rather than extracting all qualified GSGs in a network, TkGSG aims to return k feasibility groups to guarantee the diversity. We prove the hardness of computing the TkGSGs. Nevertheless, we propose the effective greedy approach with a guaranteed approximation ratio of 1−1/e. Extensive empirical studies on real and synthetic networks show the superiority of our algorithm when compared with existing methods and demonstrate the effectiveness of our new community model and the efficiency of our optimization techniques.

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Atton, N., W. Hoppitt, M. M. Webster, B. G. Galef, and K. N. Laland. "Information flow through threespine stickleback networks without social transmission." Proceedings of the Royal Society B: Biological Sciences 279, no. 1745 (August 15, 2012): 4272–78. http://dx.doi.org/10.1098/rspb.2012.1462.

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Social networks can result in directed social transmission of learned information, thus influencing how innovations spread through populations. Here we presented shoals of threespine sticklebacks ( Gasterosteous aculeatus ) with two identical foraging tasks and applied network-based diffusion analysis (NBDA) to determine whether the order in which individuals in a social group contacted and solved the tasks was affected by the group's network structure. We found strong evidence for a social effect on discovery of the foraging tasks with individuals tending to discover a task sooner when others in their group had previously done so, and with the spread of discovery of the foraging tasks influenced by groups' social networks. However, the same patterns of association did not reliably predict spread of solution to the tasks, suggesting that social interactions affected the time at which the tasks were discovered, but not the latency to its solution following discovery. The present analysis, one of the first applications of NBDA to a natural animal system, illustrates how NBDA can lead to insight into the mechanisms supporting behaviour acquisition that more conventional statistical approaches might miss. Importantly, we provide the first compelling evidence that the spread of novel behaviours can result from social learning in the absence of social transmission, a phenomenon that we refer to as an untransmitted social effect on learning.

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Khan, Abeer, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, and Morteza Zihayat. "Compact group discovery in attributed graphs and social networks." Information Processing & Management 57, no. 2 (March 2020): 102054. http://dx.doi.org/10.1016/j.ipm.2019.102054.

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SATO, Ryota, Hitoshi HABE, Ikuhisa MITSUGAMI, Satoru SATAKE, Kazuhiko SUMI, and Yasushi YAGI. "Social Group Discovery Extracting Useful Features using Multiple Instance Learning." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 28, no. 6 (2016): 920–31. http://dx.doi.org/10.3156/jsoft.28.920.

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Bródka, Piotr, Stanisław Saganowski, and Przemysław Kazienko. "GED: the method for group evolution discovery in social networks." Social Network Analysis and Mining 3, no. 1 (March 21, 2012): 1–14. http://dx.doi.org/10.1007/s13278-012-0058-8.

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Saganowski, Stanisław, Piotr Bródka, and Przemysław Kazienko. "Influence of the User Importance Measure on the Group Evolution Discovery." Foundations of Computing and Decision Sciences 37, no. 4 (December 1, 2012): 293–303. http://dx.doi.org/10.2478/v10209-011-0017-6.

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AbstractOne of the most interesting topics in social network science are social groups, i.e. their extraction, dynamics and evolution. One year ago the method for group evolution discovery (GED) was introduced. The GED method during extraction process takes into account both the group members quality and quantity. The quality is reflected by user importance measure. In this paper the influence of different user importance measures on the results of the GED method is examined and presented. The results indicate that using global measures like social position (page rank) allows to achieve more precise results than using local measures like degree centrality or no measure at all.

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Tuomchomtam, Sarach, and Nuanwan Soonthornphisaj. "Demographics and Personality Discovery on Social Media: A Machine Learning Approach." Information 12, no. 9 (August 30, 2021): 353. http://dx.doi.org/10.3390/info12090353.

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This research proposes a new feature extraction algorithm using aggregated user engagements on social media in order to achieve demographics and personality discovery tasks. Our proposed framework can discover seven essential attributes, including gender identity, age group, residential area, education level, political affiliation, religious belief, and personality type. Multiple feature sets are developed, including comment text, community activity, and hybrid features. Various machine learning algorithms are explored, such as support vector machines, random forest, multi-layer perceptron, and naïve Bayes. An empirical analysis is performed on various aspects, including correctness, robustness, training time, and the class imbalance problem. We obtained the highest prediction performance by using our proposed feature extraction algorithm. The result on personality type prediction was 87.18%. For the demographic attribute prediction task, our feature sets also outperformed the baseline at 98.1% for residential area, 94.7% for education level, 92.1% for gender identity, 91.5% for political affiliation, 60.6% for religious belief, and 52.0% for the age group. Moreover, this paper provides the guideline for the choice of classifiers with appropriate feature sets.

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Atton, N., B. J. Galef, W. Hoppitt, M. M. Webster, and K. N. Laland. "Familiarity affects social network structure and discovery of prey patch locations in foraging stickleback shoals." Proceedings of the Royal Society B: Biological Sciences 281, no. 1789 (August 22, 2014): 20140579. http://dx.doi.org/10.1098/rspb.2014.0579.

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Numerous factors affect the fine-scale social structure of animal groups, but it is unclear how important such factors are in determining how individuals encounter resources. Familiarity affects shoal choice and structure in many social fishes. Here, we show that familiarity between shoal members of sticklebacks ( Gasterosteus aculeatus ) affects both fine-scale social organization and the discovery of resources. Social network analysis revealed that sticklebacks remained closer to familiar than to unfamiliar individuals within the same shoal. Network-based diffusion analysis revealed that there was a strong untransmitted social effect on patch discovery, with individuals tending to discover a task sooner if a familiar individual from their group had previously done so than if an unfamiliar fish had done so. However, in contrast to the effect of familiarity, the frequency with which individuals had previously associated with one another had no effect upon the likelihood of prey patch discovery. This may have been due to the influence of fish on one another's movements; the effect of familiarity on discovery of an empty ‘control’ patch was as strong as for discovery of an actual prey patch. Our results demonstrate that factors affecting fine-scale social interactions can also influence how individuals encounter and exploit resources.

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Xu, Min, Yuan Zhang, Mei Qi Fang, and Ning Li. "An Intelligent Personalized Learning Model Based on Community Discovery Method." Advanced Materials Research 159 (December 2010): 248–51. http://dx.doi.org/10.4028/www.scientific.net/amr.159.248.

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In this paper, we proposed a model of support personalized learning based on SGCL (Social Group Collaborative Learning System). In the model, we provide two algorithms to discover knowledge communities. Based on the community discovery result and system recommendation policy, we give our user the recommendation suggestions to help them to construct their personalized knowledge structure. The paper mainly introduce these algorithms, the AG algorithm based on aggregation and the KC algorithm based on K-Clique model, which are algorithms to discover knowledge communities in SGCL.

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Kasson, Erin, Melissa M. Vázquez, Christine Doroshenko, Ellen E. Fitzsimmons-Craft, Denise E. Wilfley, C. Barr Taylor, and Patricia A. Cavazos-Rehg. "Exploring Social Media Recruitment Strategies and Preliminary Acceptability of an mHealth Tool for Teens with Eating Disorders." International Journal of Environmental Research and Public Health 18, no. 15 (July 28, 2021): 7979. http://dx.doi.org/10.3390/ijerph18157979.

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(1) Background: The current study leveraged social media to connect with teens with EDs to identify population specific characteristics and to gather feedback on an mHealth intervention. (2) Methods: We recruited teens with EDs from social media in two phases: (1) Discovery Group, (2) Testing Group. The Discovery Group (n = 14) participants were recruited from Facebook/Instagram and were asked to review the app for up to one week and provide qualitative feedback. After incorporating feedback from the Discovery Group, we refined our social media outreach methods to connect with 30 teens with EDs to pilot this mobile app. Recruitment from a variety of platforms on social media was successful, with the majority of enrolled participants in the Testing Group coming from Snapchat (60%) and a large percentage of participants belonging to gender and sexual minority groups (63%). (3) Results: Participants from both groups experienced extremely high rates of depression (100% Discovery, 90% Testing) and/or anxiety symptoms (100% Discovery, 93% Testing) in addition to ED symptoms, and noted this as a possible barrier to app engagement. (4) Conclusion: Use of social media for recruitment of teens with EDs is feasible and may connect with groups who may be more difficult to reach using traditional recruitment methods. Among the Discovery Group there was high acceptability of and interest in an app to support ED recovery, and characteristics of both groups demonstrated need for support in other mental health domains. Future studies should evaluate the preliminary efficacy of such tools among teens to determine the effects of such interventions on ED symptoms and other mental health outcomes.

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Nurma’ardi, Hilda Dhaniartika, Rusdarti Rusdarti, and Murwatiningsih Murwatiningsih. "The Effectiveness Analysis of Discovery Learning Assisted by Interactive Video toward Social Study Critical Thinking Skills of Primary School." Journal of Primary Education 9, no. 3 (May 31, 2020): 278–85. http://dx.doi.org/10.15294/jpe.v9i3.37935.

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Critical thinking skills must be owned by primary school students to face the 21st-century learning era. It can be trained in schools by implementing a discovery learning model in learning processes. This research aims to analyze and find out how discovery learning effectiveness assisted by interactive video toward critical thinking skills of Social study for fourth graders. The research methodology was quasi-experimental research while the technique of sampling was purposive sampling. In this research, Public Primary School 02 Pringapus functions as control group which was intervened by discovery learning and Public Primary School 01 Pringapus functions as experimental group which was intervened by discovery learning assisted by interactive video. The techniques of collecting data were critical thinking skill question, questionnaire, interview, and documentation. The results of classical accomplishment showed that the result of control group was 54.84% with average score 70. Meanwhile, the experimental group obtained 96.67%, with average score 76.67. The results of n-gain score of control group was 0.34 while the experimental group was 0.42. Both of them were categorizeed moderate. The findings showed that discovery learning implementation assisted by interactive video was effective in improving social study critical thinking skills of primary school students. This research is expected to be basis of developing and improving social study critical thinking skills for primary school students.

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MENEZES, TELMO, and CAMILLE ROTH. "AUTOMATIC DISCOVERY OF AGENT BASED MODELS: AN APPLICATION TO SOCIAL ANTHROPOLOGY." Advances in Complex Systems 16, no. 07 (October 2013): 1350027. http://dx.doi.org/10.1142/s0219525913500276.

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We present a methodology that applies a machine learning technique — genetic programming — to the problem of finding plausible generative models for complex networks. We specifically apply this method to the analysis of alliance networks, a type of kinship network used by social anthropologists where nodes are groups and directed edges represent a group giving a wife to another group. Network generators are represented as computer programs. Evolutionary search is used to find programs that generate networks that best approximate real networks. The quality evaluation of a model is based on a set of network metrics with anthropological meaning. We evolve generators for seventeen real alliance networks and find that our approach is capable of generating high quality results both in terms of network similarity and human readability of the programs. We present and discuss a subset of the experimental results that highlights several interesting aspects of our findings. We believe in the applicability of the methodology to complex networks in general and propose that these are the first steps towards an artificial network scientist.

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Tran, K. N., A. Gala, I. A. Kakadiaris, and S. K. Shah. "Activity analysis in crowded environments using social cues for group discovery and human interaction modeling." Pattern Recognition Letters 44 (July 2014): 49–57. http://dx.doi.org/10.1016/j.patrec.2013.09.015.

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Kashoob, Said, James Caverlee, and Ying Ding. "A Categorical Model for Discovering Latent Structure in Social Annotations." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (March 19, 2009): 82–89. http://dx.doi.org/10.1609/icwsm.v3i1.13943.

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The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Understanding the emergent semantics inherent in the socially-generated collection of annotations has important research implications for information discovery and knowledge sharing. To this end, we propose a novel probabilistic generative model for discovering latent structure in large-scale social annotations. The generative model identifies latent community-based ``categories'' of interest that can be used to group semantically-related tags and to augment traditional content-based information search and discovery. We illustrate the proposed approach over large collections of Web objects annotated by the Flickr and Delicious communities. Additionally, we show how to integrate the annotation-based categorical model with traditional content-based approaches for the effective focused discovery and exploration of Web objects.

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OEHLMANN, RUEDIGER. "THE FUNCTION OF HARMONY AND TRUST IN COLLABORATIVE CHANCE DISCOVERY." New Mathematics and Natural Computation 02, no. 01 (March 2006): 69–83. http://dx.doi.org/10.1142/s1793005706000324.

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Collaborative Chance Discovery aims at determining a rare event as a chance for future decision making from a set of potential chances that have been identified by computational methods. Typically based on these potential chances, the members of a workgroup will imagine scenarios that describe situations and event sequences during which a chance could be used. This paper describes a study of how scenarios may emerge from group interactions. Verbal protocols of two software design groups, who conducted the same design task, were analyzed. The experimental group additionally had to use social diagrams to externalize their changing views about the other group members. It was predicted that the externalization causes an increase of references to harmony and trust and that this increased awareness leads to improved scenarios. The protocol analysis confirmed this hypothesis and revealed details of the process of scenario emergence. The new insights gave rise to the proposal of a new model of scenario emergence based on externalizing social context, harmony and trust.

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Bacha, Claire S. "The first revolution: Taking Jaak Panksepp seriously: Group analysis and the neuroscience of emotion." Group Analysis 52, no. 4 (July 5, 2019): 441–57. http://dx.doi.org/10.1177/0533316419858583.

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Jaak Panksepp, like Foulkes, broke from the dominant paradigm in his field to fashion a series of experiments. In the process, Panksepp discovered that the midbrain is the seat of seven basic emotions. Moreover, these basic emotions are shared with all mammals. He called this discovery ‘affective neuroscience’. Panksepp’s work, taken seriously, is transforming ideas, previously expressed in the area of philosophical thinking, into a new kind of social psychology. Group analysis is a vital element in this transformation. Among other things, Panksepp shows us that humans are not unitary. The most that we can hope for is a comparatively peaceful integration of the various processes that make up our selves and our small and large groups. The external and internal role of the group conductor is helpful, philosophically, clinically and politically, to promote this integration.

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Rafailidis, Dimitrios, Alexandros Nanopoulos, and Yannis Manolopoulos. "Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery." International Journal of Multimedia Data Engineering and Management 1, no. 3 (July 2010): 1–18. http://dx.doi.org/10.4018/jmdem.2010070101.

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In popular music information retrieval systems, users have the opportunity to tag musical objects to express their personal preferences, thus providing valuable insights about the formulation of user groups/communities. In this article, the authors focus on the analysis of social tagging data to reveal coherent groups characterized by their users, tags and music objects (e.g., songs and artists), which allows for the expression of discovered groups in a multi-aspect way. For each group, this study reveals the most prominent users, tags, and music objects using a generalization of the popular web-ranking concept in the social data domain. Experimenting with real data, the authors’ results show that each Tag-Aware group corresponds to a specific music topic, and additionally, a three way ranking analysis is performed inside each group. Building Tag-Aware groups is crucial to offer ways to add structure in the unstructured nature of tags.

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Dokuz, Ahmet Sakir, and Mete Celik. "Cloud Computing-Based Socially Important Locations Discovery on Social Media Big Datasets." International Journal of Information Technology & Decision Making 19, no. 02 (March 2020): 469–97. http://dx.doi.org/10.1142/s0219622020500091.

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Socially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provides valuable information, such as which locations are frequently visited by a social media user, which locations are common for a social media user group, and which locations are socially important for a group of urban area residents. However, discovering socially important locations is challenging due to huge volume, velocity, and variety of social media datasets, inefficiency of current interest measures and algorithms on social media big datasets, and the need of massive spatial and temporal calculations for spatial social media analyses. In contrast, cloud computing provides infrastructure and platforms to scale compute-intensive jobs. In the literature, limited number of studies related to socially important locations discovery takes into account cloud computing systems to scale increasing dataset size and to handle massive calculations. This study proposes a cloud-based socially important locations discovery algorithm of Cloud SS-ILM to handle volume and variety of social media big datasets. In particular, in this study, we used Apache Hadoop framework and Hadoop MapReduce programming model to scale dataset size and handle massive spatial and temporal calculations. The performance evaluation of the proposed algorithm is conducted on a cloud computing environment using Turkey Twitter social media big dataset. The experimental results show that using cloud computing systems for socially important locations discovery provide much faster discovery of results than classical algorithms. Moreover, the results show that it is necessary to use cloud computing systems for analyzing social media big datasets that could not be handled with traditional stand-alone computer systems. The proposed Cloud SS-ILM algorithm could be applied on many application areas, such as targeted advertisement of businesses, social media utilization of cities for city planners and local governments, and handling emergency situations.

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Aplin, L. M., D. R. Farine, J. Morand-Ferron, and B. C. Sheldon. "Social networks predict patch discovery in a wild population of songbirds." Proceedings of the Royal Society B: Biological Sciences 279, no. 1745 (August 22, 2012): 4199–205. http://dx.doi.org/10.1098/rspb.2012.1591.

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Animals use social information in a wide variety of contexts. Its extensive use by individuals to locate food patches has been documented in a number of species, and various mechanisms of discovery have been identified. However, less is known about whether individuals differ in their access to, and use of, social information to find food. We measured the social network of a wild population of three sympatric tit species (family Paridae) and then recorded individual discovery of novel food patches. By using recently developed methods for network-based diffusion analysis, we show that order of arrival at new food patches was predicted by social associations. Models based only on group searching did not explain this relationship. Furthermore, network position was correlated with likelihood of patch discovery, with central individuals more likely to locate and use novel foraging patches than those with limited social connections. These results demonstrate the utility of social network analysis as a method to investigate social information use, and suggest that the greater probability of receiving social information about new foraging patches confers a benefit on more socially connected individuals.

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Janssen, P. L., and G. Wienen. "Group Analysis with Ulcerative Colitis and Regional Ileitis: The Discovery of the Scream." Group Analysis 28, no. 1 (March 1995): 87–96. http://dx.doi.org/10.1177/0533316495281007.

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Darma Putra, I. Gede, and I. Wayan Sujana. "Hasil belajar IPS menggunakan Kolaborasi Model Discovery Learning Berbasis Media Animasi." Journal of Education Technology 4, no. 2 (May 31, 2020): 103. http://dx.doi.org/10.23887/jet.v4i2.25099.

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Learning social studies in elementary school should be taught by focusing on students, but the learning process was still focused on the teacher and used lecturing method. Therefore, the aim of this research was to analyze the use of discovery learning models based on animation media. This research was quasi experimental research with non equivalent control group design. The population of this research was all fourth-grade elementary school students which were consisted of 160 students. The samples were taken by random sampling technique. The sample consisted of 31 students in experimental group and 30 students in control group. Data collection was done by using test in the form of multiple-choice test. The data were analyzed by using t-test. The results of data analysis obtained t-count = 3.302 at a significance level of 5% and dk = 59, the value obtained t-table = 2,000 so that t-count = 3.302> t-table = 2,000. So, the use of discovery learning model based on animation media would have an impact on social studies learning outcomes.

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Rusydiana, Aam Slamet, and Abrista Devi. "Islamic Group Lending and Financial Inclusion." Signifikan: Jurnal Ilmu Ekonomi 5, no. 1 (April 8, 2016): 51–68. http://dx.doi.org/10.15408/sjie.v5i1.3128.

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Based on measurements of several indicators including the level of community participation, community empowerment, repayment rate was good, cross reporting good, and the application of penalties in accordance with the applicable rules, the results show that with the program GLM people feel the difference in economic condition and social than before and after the program. This is a major discovery is valuable. The development strategy for the program GLM is divided into seven levels with the elements most important include: The need for equality of access to funds for all types of financial institutions, both banking and lending model-based group, the need to improve the quality of human resources as a pioneer of service models based lending group this, as well as the importance of financial inclusion in the entire financial systemDOI: 10.15408/sjie.v5i1.3128

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Zhang, Bo, Lele Zhang, Cui Mu, Qin Zhao, Qianqian Song, and Xuan Hong. "A most influential node group discovery method for influence maximization in social networks: A trust-based perspective." Data & Knowledge Engineering 121 (May 2019): 71–87. http://dx.doi.org/10.1016/j.datak.2019.05.001.

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Drias, Yassine, and Habiba Drias. "Social Networks Discovery Based on Information Retrieval Technologies and Bees Swarm Optimization." International Journal of Systems and Service-Oriented Engineering 4, no. 3 (July 2014): 46–65. http://dx.doi.org/10.4018/ijssoe.2014070103.

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Unlike the previous works where detecting communities is performed on large graphs, our approach considers textual documents for discovering potential social networks. More precisely, the aim of this paper is to extract social communities from a collection of documents and a query specifying the domain of interest that may link the group. We propose a methodology that develops an information retrieval system capable to generate the documents that are in relationship with any topic. The authors of these documents are linked together to constitute the social community around the given thematic. The search process in the information retrieval system is designed using BSO, the bee swarm optimization method in order to optimize the retrieval time for large amount of documents. Our approach was implemented and tested on CACM and DBLP and the time of building a social network is quasi instant.

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Bagaskara, Rayhan, Tesa Febri Veolina, Milkatahasi Milkatahasi, Nur Tazkiyah, Galuh Ayu Mustikasari, Ruth Vina Rusnida Tambunan, and Sapto Irawan. "Pentingnya Social Support Dalam Pengembangan Konsep Diri Melalui Bimbingan Kelompok." Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi 5, no. 2 (September 30, 2022): 158–70. http://dx.doi.org/10.56013/jcbkp.v5i2.1592.

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During the transition period from childhood to adolescence and from adolescence to adulthood, we are faced with the discovery of new developmental tasks that need to be mastered. Overcoming developmental challenges is also influenced by the environment and culture. Given this task, some people can handle it, while others can handle it little or nothing. The purpose of this paper is to describe the positive experience of group counseling services in children at the Sumogawe White Cross Orphanage. This study was conducted at the White Cross Orphanage with a total of 51 participants. The research method presents a qualitative picture that describes the practice of group counseling. Group counseling services are provided in the form of counseling services to small groups of 3-4 orphans with the aim of helping children develop the importance of social support. Development of self-concept. The results of group counseling activities can be beneficial. In short, the children of the Sumogawe White Cross Orphanage respect each other, respect themselves, broaden horizons, form group dynamics of group members, and provide emotional support in individual stressful situations. Keywords: Group Guidance; Self-Concept; Social Support

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Lin, Tung-Cheng, David Fang, Siang-Ying Hsueh, and Ming-Cheng Lai. "Drivers of participation in Facebook long-term care groups: Applying the use and gratification theory, social identification theory, and the modulating role of group diversity." Health Informatics Journal 26, no. 1 (April 8, 2019): 513–27. http://dx.doi.org/10.1177/1460458219839618.

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Facebook long-term care groups have been established by long-term care workers, and few studies have explored the related drivers of participation from the perspective of caregivers. This study applied a mixed-methods approach; the qualitative component conducted a pilot study to explore the drivers of participation in Facebook long-term care groups and found that the use and gratification theory provides a valid approach for explaining these drivers. Subsequently, the quantitative component, based on the use and gratification theory, proposed a conceptual model to examine the effect of these drivers on the social identity of these groups as well as the modulating effects of extraversion and group diversity in terms of age and educational background. The results showed that the most important social identification–related driver underlying participation in these groups was self-discovery. In addition, the relationship among these drivers and social identification was found to be modulated by extraversion, age, and educational background.

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Nadjamuddin, Lukman, Sunarto Amus, Jamaludin Jamaludin, Sriati Usman, Idrus A. Rore, Nurgan Tadeko, and Muhammad Zaky. "Development of Hybrid Discovery Learning (HDL) Model for Integrated Social Studies Learning." Technium Social Sciences Journal 28 (February 9, 2022): 253–62. http://dx.doi.org/10.47577/tssj.v28i1.5953.

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The Covid-19 crisis has led to a widening of the scope and role of online-based learning and information technology (IT)-based education. It is believed that the IT based education will play significant roles even when the Covid crisis ended. Online based learning requires good preparation and contextual schemes to achieve learning outcomes. Students will benefit the online based teaching once it is well prepared and equipped with interactive IT. A combination off- and online learning, known as hybrid learning, when merged to discovery learning will enhance more student interaction. It can measure the interaction numerically and laterally of students. Also, students will explore real-world problems through reality learning condition. This study was developed using the ADDIE model and qualitative descriptive approach. The objective was to evaluate whether using hybrid in the discovery learning will bring barriers for teacher and whether it is effective to achieve students learning outcomes. In this study, the hybrid and discovery learning were combined onto Hybrid Discovery Learning (HDL) model. The developed model was tested with two different focus group discussions (FGD), followed by 24 teachers and instructors of the social studies, and tested for 12 classes. The results demonstrate that the HDL model is successfully support the integrated learning of social studies. However, the benefits of implementing HDL model can only be optimal when several aspects (26 aspects according to the results of the second FGD) such as powering digital means, develop good IT based teaching materials, preparation of templates, and adjust suitable evaluation system, are well done.

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Pratiwi, Daruningtyas Putri. "KEEFEKTIFAN MODEL DISCOVERY LEARNING BERBANTUAN AUDIOVISUAL TERHADAP HASIL BELAJAR IPS KELAS IV." Joyful Learning Journal 9, no. 3 (December 23, 2020): 133–37. http://dx.doi.org/10.15294/jlj.v9i3.39705.

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Abstrak Berdasarkan hasil observasi wawancara dan data hasil belajar didapat bahwa hasil belajar IPS belum optimal dikarenakan dalam proses pembelajaran kurang keterlibatan secara aktif dari para siswa. Penelitian ini bertujuan untuk menguji keefektifan model pembelajaran Discovery Learning berbantuan media audiovisual terhadap hasil belajar muatan pelajaran IPS kelas IV SDN Gugus Sultan Agung Pecangaan Jepara. Jenis penelitian ini adalah quasi experimental dengan desain non equivalent control group design. Teknik pengambilan sampel adalah cluster random sampling, dengan sampel sebanyak 112 siswa. Pengumpulan data menggunakan teknik tes, observasi, wawancara, dan dokumentasi. Hasil uji hipotesis menunjukkan bahwa nilai thitung (2,592) > ttabel (2,002) yang berarti model Discovery Learning berbantuan media audiovisual efektif terhadap hasil belajar IPS siswa kelas IV. Hasil uji N-gain kelas eksperimen lebih tinggi dari kelas kontrol (0,477 > 0,286) kriteria sedang. Simpulan penelitian ini adalah model pembelajaran Discovery Learning berbantuan media audiovisual efektif terhadap hasil belajar mupel IPS siswa kelas IV SDN Gugus Sultan Agung Pecangaan Jepara. Based on interview observations and learning outcomes data, it is found that social studies learning outcomes are not optimal because there is less active involvement of students in the learning process. This study aims to test the effectiveness of the Discovery Learning model assisted by audiovisual media on learning outcomes of social studies content of the fourth grade social studies at SDN Cluster Sultan Agung Pecangaan Jepara. This type of research is a quasi experimental design with non equivalent control group design. The sampling technique is cluster random sampling, with a sample of 112 students. Data collection uses test, observation, interview, and documentation techniques. Hypothesis test results indicate that the value of tcount (2.592) > ttable (2.002), which means that the Discovery Learning model assisted by audiovisual media is effective against social studies learning outcomes of fourth grade students. The N-gain test results of the experimental class are higher than the control class (0.477 > 0.286) moderate criteria. The conclusion of this research is the Discovery Learning model assisted by audiovisual media which is effective on the learning outcomes of Social Studies students 4th grade SDN Cluster Sultan Agung Pecangaan Jepara.

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Holt, Nicholas L., Danielle E. Black, Katherine A. Tamminen, Kenneth R. Fox, and James L. Mandigo. "Levels of Social Complexity and Dimensions of Peer Experiences in Youth Sport." Journal of Sport and Exercise Psychology 30, no. 4 (August 2008): 411–31. http://dx.doi.org/10.1123/jsep.30.4.411.

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We assessed young adolescent female soccer players’ perceptions of their peer group experiences. Data were collected via interviews with 34 girls from two youth soccer teams (M age = 13.0 years). Following inductive discovery analysis, data were subjected to an interpretive theoretical analysis guided by a model of peer experiences (Rubin, Bukowski, & Parker, 2006). Five categories of peer experiences were identified across three levels of social complexity. At the interaction level players integrated new members into the team and learned to interact with different types of people. At the relationship level players learned about managing peer conflict. At the group level a structure of leadership emerged and players learned to work together. Findings demonstrated interfaces between peer interactions, relationships, and group processes while also simplifying some apparently complex systems that characterized peer experiences on the teams studied.

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Musdalifa, Musdalifa, Ramdani Ramdani, and Muhammad Danial. "Pengaruh Blended Learning Berbasis Jejaring Sosial Edmodo pada Model Discovery Learning terhadap Hasil Belajar Peserta Didik (Studi pada Materi Pokok Larutan Penyangga)." Chemica: Jurnal Ilmiah Kimia dan Pendidikan Kimia 21, no. 1 (August 31, 2020): 59. http://dx.doi.org/10.35580/chemica.v21i1.14839.

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ABSTRAK Penelitian ini merupakan penelitian eksperimen semu yang bertujuan untuk mengetahui pengaruh blended learning berbasis jejaring sosial edmodo pada model discovery learning terhadap hasil belajar peserta didik kelas XI MIPA SMA Negeri 15 Makassar pada materi larutan penyangga. Desain penelitian yang digunakan adalah posttest only control group design. Populasi dalam penelitian ini adalah peserta didik kelas XI MIPA SMA Negeri 15 Makassar yang terdiri dari lima kelas. Pengambilan sampel dilakukan secara random sampling. Kelompok eksperimen yaitu kelas XI MIPA 2 dan kelompok kontrol yaitu kelas XI MIPA. Berdasarkan hasil analisis deskriptif diperoleh rata-rata hasil belajar kelompok eksperimen 76,61 lebih tinggi dari kelompok kontrol yaitu 74,00. Hasil analisis statistik inferensial terhadap hasil belajar peserta didik menunjukkan bahwa data pada kelompok ekperimen dan kelompok kontrol terdistribusi normal serta berasal dari populasi yang homogen. Uji hipotesis menggunakan uji-t. diperoleh thitung > ttabel (3,47 > 2,01) sehingga H0 ditolak dan H1 diterima. Ada pengaruh blended learning berbasis jejaring sosial edmodo dengan model discovery learning terhadap hasil belajar peserta didik kelas XI MIPA SMA Negeri 15 Makassar pada materi larutan penyangga. Kata kunci: Edmodo, discovery learning, dan hasil belajar. ABSTRACT This study is a quasi-experimental study that aims to determine the effect of blended learning based on edmodo social network at discovery learning models toward learning achievement of students class XI MIPA SMAN 15 Makassar at buffer solution subject matter. The research design is the posttest only control group design. The population in this study are the students of classes XI MIPA SMAN 15 Makassar which consists of five classes. Sampling is done by random sampling. The experimental group is XI MIPA 2 and the control group is XI MIPA 1. Based on the results of descriptive analysis, the average of learning achievement of experimental group is 76.61 that higher than in the control group that is 74.00. The results of inferential statistical analysis toward learning achievement indicate that the data on the experimental group and the control group are normal distribution and homogenous. Hypothesis testing using t-test obtained tcount > ttable (3.47 > 2.01) so that Ho rejected and H1 accepted. There is an effect of blended learning based on edmodo social network at discovery learning models toward learning achievement of students class XI MIPA SMAN 15 Makassar at buffer solution subject matter. Keywords: Edmodo, discovery learning, and learning achievement

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Elmisery, Ahmed M., and Mirela Sertovic. "Privacy Enhanced Cloud-Based Recommendation Service for Implicit Discovery of Relevant Support Groups in Healthcare Social Networks." International Journal of Grid and High Performance Computing 9, no. 1 (January 2017): 75–91. http://dx.doi.org/10.4018/ijghpc.2017010107.

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Recommending support-groups in healthcare social networks is the problem of detecting for each patient his/her membership to one support-group of relevant patients. The patients in each support-group share some relevant preferences which guarantee that the support-group as a whole satisfies some desired properties of similarity. As a result, forming these support-groups requires the availability of personal data of different patients. This is a crucial requirement for different recommender services. With the increasing trend of service providers to collect a large volume of personal data regarding their end-users, presumably to better serve them. However, a significant part of the data that is typically collected is not essential to the service being offered, or to the completion of the services it was presumably released for. Gathering such unnecessary data can be seen as a privacy threat, and storing it exposes the end-users to further unavoidable risks. In this paper, a privacy enhanced cloud-based recommendation service is proposed for the implicit discovery of appropriate support groups in healthcare social network. A fog based middleware (FMCP) was introduced that runs at patients' sides and allows exchanging of their information to facilities recommending and creating support-groups without disclosing their real preferences to other parties. The membership of patients in various support groups allows receiving highly appropriate and reliable healthcare-related advices. The system utilizes two protocols to attain this goal. Experiments were performed on real dataset.

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Levin, Seth N., Claire S. Riley, Amar Dhand, Charles C. White, Shruthi Venkatesh, Blake Boehm, Caren Nassif, et al. "Association of social network structure and physical function in patients with multiple sclerosis." Neurology 95, no. 11 (August 7, 2020): e1565-e1574. http://dx.doi.org/10.1212/wnl.0000000000010460.

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ObjectiveTo test the association between physical function and the social environment in multiple sclerosis (MS), we quantified personal social networks.MethodsIn this cross-sectional study, we analyzed data from 2 academic MS centers, with center 1 serving as a discovery group and center 2 as the extension group. We performed a meta-analysis of the centers to extend the analysis. We used responses from a questionnaire to map the structure and health habits of participants' social networks as well as the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) physical function scale (0–100, mean 50 for US general population) as the primary outcome. We applied multivariable models to test the association between network metrics and physical function.ResultsThe discovery cohort included 263 patients with MS: 81% were women, 96% non-Hispanic European, 78% had relapsing MS, average age was 50 (12.4) years, and mean disease duration was 17 (12.3) years. The extension group included 163 patients, who were younger, more racially diverse, and less physically disabled, and had shorter disease duration. In the meta-analysis, higher network constraint, a measure of tightly bound networks, was associated with worse physical function (β = −0.163 ± 0.047, p < 0.001), while larger network effective size, a measure of clustered groups in the network, correlated with better physical function (β = 0.134 ± 0.046, p = 0.003).ConclusionsOur study highlights personal networks as an important environmental factor associated with physical function in MS. Patients with close-knit networks had worse function than those with more open networks. Longitudinal studies are warranted to evaluate a causal relationship between network structure and physical impairment.

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Han, Zhao, and Chuan Zhao. "The Applied Mechanism Research of College Students' Social Network." Advanced Materials Research 850-851 (December 2013): 1082–85. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1082.

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Currently on social network research has focused on how it affects social relations discovery of entrepreneurial opportunities to explore entrepreneurship and social relations on the resources required to obtain such information, capital, technology, personnel, etc. play what role. Most of the study focused on the successful entrepreneurs who study the social network features. But for such a special group of college students, there are few studies. Based on social network measurement dimensions and structural characteristics of the center, heterogeneity, dynamic, three characteristics, by analyzing the students in the material, information, emotional support and other aspects of its application, and to explore how to further maintain and expand social network.

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López, Martha Elisa, Abel Javier Zamora, and Rosalva Cabrera. "FOOD SEARCH AND CONSUMPTION AND ITS RELATION TO AGGRESSIVE RESPONSES IN PIGEONS." Revista Mexicana de Análisis de la Conducta 45, no. 2 (December 1, 2019): 468–82. http://dx.doi.org/10.5514/rmac.v45.i2.75578.

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The aim of this experiment was to describe the relation between the emission and reception of aggressive responses, as well as the occurrence of food discovery and consumption responses in a social foraging situation in which the spatial distribution of food was varied. During five sessions, groups of pigeons (n=5) were exposed to a wood platform with 12 sealed containers, of which 4 contained food (full). For the Proximal Group the full containers were spatially adjacent to one another and for the Distal Group the containers were spatially separated. In each group only one subject discovered food consistently, but all of the members consumed food. The aggressive responses were higher in subjects that consumed less food and the reception of aggressive responses was higher for subjects that consumed more food. The data were analyzed in terms of the Hawk/Dove game described by Sirot (2000).

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Duveau, Jérémy, Gilles Berillon, Christine Verna, Gilles Laisné, and Dominique Cliquet. "The composition of a Neandertal social group revealed by the hominin footprints at Le Rozel (Normandy, France)." Proceedings of the National Academy of Sciences 116, no. 39 (September 9, 2019): 19409–14. http://dx.doi.org/10.1073/pnas.1901789116.

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Footprints represent a unique snapshot of hominin life. They provide information on the size and composition of groups that differs from osteological and archeological remains, whose contemporaneity is difficult to establish. We report here on the discovery of 257 footprints dated to 80,000 y from the Paleolithic site at Le Rozel (Normandy, France), which represent the largest known Neandertal ichnological assemblage to date. We investigate the size and composition of a track-maker group from this large set by developing a morphometric method based on experimental footprints. Our analyses indicate that the footprints were made by a small group comprising different age classes, from early childhood to adult, with a majority of children. The Le Rozel footprints thus provide direct evidence for the size and composition of a Neandertal social group.

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Puzanov, D. V. "REVOLTS THAT NEVER HAPPENED: ON THE UNNOTICED DISCOVERY OF I. Ya. FROYANOV." Bulletin of Udmurt University. Series History and Philology 32, no. 1 (February 11, 2022): 83–92. http://dx.doi.org/10.35634/2412-9534-2022-32-1-83-92.

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The unrests of the Suzdal and Yaroslavl Magi, described in the chronicles in 1024 and 1071, are still interpreted by many researchers as manifestations of social rebellion. Previously, these protests were seen as anti-feudal uprisings, now - revolts against social stratification, princely administration and official Christianity. Researchers accepted the arguments of I. Ya. Froyanov, refuting the antifeudal nature of the speeches. But the researcher's remarks, which made it possible to doubt whether these phenomena were uprisings, went unnoticed. At the same time, many of the details of the speeches, which the researchers take for the features of an uprising, are more logically interpreted based on the social characteristics of the “witch-hunting”. And some signs of rebellion, contained in the description of the movements (features of the counterculture in the worldview of the Magi), most likely arose due to the peculiarities of the presentation of the position of the “out-group” in Old Rus literature.

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Ames, Kate. "Distance Education and ‘Discovery Learning’ in First-year Journalism: A Case in Subject Improvement." Asia Pacific Media Educator 26, no. 2 (December 2016): 214–25. http://dx.doi.org/10.1177/1326365x16669196.

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This article examines the implications of adopting a discovery learning education model for distance education students in a first-year undergraduate journalism subject. It reviews subject enhancement strategies against learning theory and analyzes the ways students are engaged with subject content and assessment. Results of subject redesign included increased student satisfaction, greater retention and higher grades despite the increase in overall assessment requirements. It demonstrates that discovery learning based on group work and social engagement can be adopted in a distance education environment with positive outcomes. This article maps how a subject designed initially to align with a cognitivist/behaviourist model progressed to adopting a social constructivist approach. It concludes with a discussion of the issues associated with that transition.

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Fang, Yixiang, Wensheng Luo, and Chenhao Ma. "Densest subgraph discovery on large graphs." Proceedings of the VLDB Endowment 15, no. 12 (August 2022): 3766–69. http://dx.doi.org/10.14778/3554821.3554895.

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As one of the most fundamental problems in graph data mining, the densest subgraph discovery (DSD) problem has found a broad spectrum of real applications, such as social network community detection, graph index construction, regulatory motif discovery in DNA, fake follower detection, and so on. Theoretically, DSD closely relates to other fundamental graph problems, such as network flow and bipartite matching. Triggered by these applications and connections, DSD has garnered much attention from the database, data mining, theory, and network communities. In this tutorial, we first highlight the importance of DSD in various applications and the unique challenges that need to be addressed. Subsequently, we classify existing DSD solutions into several groups, which cover around 50 research papers published in many well-known venues (e.g., SIGMOD, PVLDB, TODS, WWW), and conduct a thorough review of these solutions in each group. Afterwards, we analyze and compare the models and solutions in these works. Finally, we point out a list of promising future research directions. We believe that this tutorial not only helps researchers have a better understanding of existing densest subgraph models and solutions, but also provides them insights for future study.

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Nugroho, Anwari Adi. "The implementation of collaborative-based guided discovery reviewed from students’ analytical thinking skills and social skills." Jurnal Inovasi Pendidikan IPA 3, no. 2 (October 8, 2017): 128. http://dx.doi.org/10.21831/jipi.v3i2.14508.

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This study aimed to determine the effectiveness of collaborative based Guided Discovery in empowering critical thinking skills and social skills of students in High Plant Systematics Course. It was a quasi-experimental study with One Group Pretest-Posttest Design using one class as an experiment (pretest and posttest). The subjects of the study were 26 students of the fourth semester of Department of Biology Education, Universitas Bangun Nusantara Sukoharjo Academic Year 2015/2016. Data collection techniques were done with tests to measure analytical thinking skills and observation to measure social skills. Data analysis of the result of analytical thinking skills was quantitative descriptive using paired sample t-test, while the result of social skill observation was qualitative descriptive. Paired sample t-test resulted in a significant difference of pretest and posttest value of analytical thinking skill. The result of social skill score was nine students with very good category and seventeen students with a good category. The conclusion of the study was that collaborative based Guided Discovery effectively empowers the student’s analytical thinking and social skills.

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Ng, Desmond. "Balancing Agency with Structure: Institutional Entrepreneurship as an Embedded Discovery Process." Journal of Entrepreneurship and Innovation in Emerging Economies 7, no. 2 (April 27, 2021): 147–64. http://dx.doi.org/10.1177/23939575211010611.

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While mainstream research has treated entrepreneurship as a highly individualised and agentic process, institutional researchers contend that entrepreneurship operates within a greater embedded setting. Various researchers have appealed to Giddens’ dual structure to explain an entrepreneur’s embedded-agency. According to Giddens’ dual structure, this embedded-agency consists of the rules or norms of a social group in which these rules constrain and enable an entrepreneur’s resources. Yet, despite Giddens’ contributions, Giddens is criticised for conflating the rules of this embedded setting with an entrepreneur’s resources in which neither affects the other in any significant way. By drawing on concepts of the Austrian entrepreneur and embeddedness, a theory of institutional entrepreneurship is developed to address this conflation problem. This institutional entrepreneurship offers an embedded-agency to explain how an entrepreneur can create, maintain and disrupt their embedded social settings. This embedded-agency addresses Giddens’ conflation problem and broadens the agent-centric focus of institutional entrepreneurship research.

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Tsukamoto, Kenichiro, Javier López Camacho, Luz Evelia Campana Valenzuela, Hirokazu Kotegawa, and Octavio Q. Esparza Olguín. "Political Interactions among Social Actors: Spatial Organization at the Classic Maya Polity of El Palmar, Campeche, Mexicó." Latin American Antiquity 26, no. 2 (June 2015): 200–220. http://dx.doi.org/10.7183/1045-6635.26.2.200.

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This article examines the significance of outlying groups in the spatial organization of Classic Maya settlements. The relative scarcity of textual records concerning outlying groups has often made it difficult for researchers to analyze in detail the political interactions between individuals associated with these groups and the royal authority. The recent discovery of a hieroglyphic stairway at the Guzmán Group, an outlying group of El Palmar, Campeche, Mexico, provides an exceptional opportunity for understanding the constitutive process of spatial organization during the Late and Terminal Classic periods (ca. A.D. 600-900). Epigraphic studies of the Guzmán Group stairway have identified a main individual who emphasized his genealogical ties to lakam (banner-bearer) officials and his political relationship with foreign rulers of Copán and Calakmul. The results of archaeological and epigraphic studies suggest that the Guzmán Group was a locus for negotiating power and ideology among different social actors.

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Crossick, Geoffrey. "Metaphors of the Middle: the Discovery of the Petite Bourgeoisie 1880–1914." Transactions of the Royal Historical Society 4 (December 1994): 251–79. http://dx.doi.org/10.2307/3679223.

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AFTER a long period of neglect, during which historians had looked towards the petite bourgeoisie primarily to heap upon it the responsibility for fascism, the last fifteen years has seen a growing research interest in the social and political history of die world of small retail, artisanal and manufacturing enterprise. The result of diis attention has been paradoxical, on the one hand establishing the petite bourgeoisie as a focus for sustained research, while on the other confirming how difficult it is to see the owners of small retail and manufacturing enterprise as a coherent social group or social class. The combination of the owner's labour and capital widiin family-centred enterprises might indicate a distinct position for the petite bourgeoisie within the social structure, but various forces militated against a social or demographic identity for die proprietors of small enterprise: the high rate of business turnover, die limited proportion of petits bourgeois who remain in diat position through their careers, and die low rate of continuity between generations. Although political struggle was important in die formation of any class, one could go further widi respect to die petite bourgeoisie and suggest that it was only at times of political crisis and action, only through die discourse and actions of its organisations, diat a petit-bourgeois identity might emerge. It is not surprising, dierefore, diat research has focused above all on diose years between die 1880s and the First World War, when die emergence of interest groups and increasing political mobilisation seemed to offer evidence of a real petit-bourgeois identity.

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Youn, Kihyok, Hyeongwon Jeon, and Juneun Park. "The application of appreciative inquiry and its effectiveness on social welfare coursework: a case study." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 16 (August 31, 2022): 191–209. http://dx.doi.org/10.22251/jlcci.2022.22.16.191.

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Objectives The purpose of this study is to identify the effectiveness of appreciative inquiry (AI) and how it can be applied to social welfare coursework. Ultimately, the present study aims to boost participatory learning, discover positive aspects of students, and enhance the capability of voluntary AI learning. Methods D University students (N = 34) participated in the 5-D model AI learning. Pre- and post-test was completed to evaluate the effectiveness of AI. Results The 5-D model (e.g., Define, Discovery, Dream, Design, and Desitny) with a single theme for each group appears to be the most desirable method for employing AI in social welfare coursework. Pre- and post-test reveals that the AI class effectiveness of individuals, teams, and team cooperation is augmented. Specifically, the individuals' positive psychological capital varaibles illustrate the highest (average .53 higher). Conclusions Results suggest that AI application in social welfare coursework may be effective for participatory learning and voluntary AI learning. To better implement AI in coursework, future research should consider developing systematic AI processes and objective evaluation tools based on the 5-D model, as well as exploring an action plan, a best practice, and positive questions corresponding to social welfare courses.

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Arnegard, Matthew E., and Bruce A. Carlson. "Electric organ discharge patterns during group hunting by a mormyrid fish." Proceedings of the Royal Society B: Biological Sciences 272, no. 1570 (June 22, 2005): 1305–14. http://dx.doi.org/10.1098/rspb.2005.3101.

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Weakly electric fish emit and receive low-voltage electric organ discharges (EODs) for electrolocation and communication. Since the discovery of the electric sense, their behaviours in the wild have remained elusive owing to their nocturnal habits and the inaccessible environments in which they live. The transparency of Lake Malawi provided the first opportunity to simultaneously observe freely behaving mormyrid fish and record their EODs. We observed a piscivorous mormyrid, Mormyrops anguilloides , hunting in small groups in Lake Malawi while feeding on rock-frequenting cichlids of the largest known vertebrate species flock. Video recordings yielded the novel and unexpected finding that these groups resembled hunting packs by being largely composed of the same individuals across days. We show that EOD accelerations accompany prey probing and size estimation by M. anguilloides . In addition, group members occasionally synchronize bursts of EODs with an extraordinary degree of precision afforded by the mormyrid echo response. The characteristics and context of burst synchronization suggest that it may function as a pack cohesion signal. Our observations highlight the potential richness of social behaviours in a basal vertebrate lineage, and provide a framework for future investigations of the neural mechanisms, behavioural rules and ecological significance of social predation in M. anguilloides .

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Brown, Graham. "The Discovery of Tourism20111Edited by Stephen L.J. Smith. The Discovery of Tourism. Emerald Group Publishing Limited, Bingley, UK2010. 258 pp. US$ 145 Vol. 13 of Tourism Social Science Series." International Journal of Contemporary Hospitality Management 23, no. 2 (March 8, 2011): 275–76. http://dx.doi.org/10.1108/09596111111119374.

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Zhao, Taige, Ningning Cui, Yunliang Chen, and Man Li. "Efficient Strategy Mining for Football Social Network." Complexity 2020 (September 24, 2020): 1–11. http://dx.doi.org/10.1155/2020/8823189.

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With the growing popularity of social network in sport, it expresses the social relationships between individuals and facilitates realistic applications, e.g., social event mining and discovery. Sport network as a specific social network has been widely studied in research and commercial fields. However, most of the existing works utilize a simplex strategy to improve certain indicators in the team and do not consider the effect of strategy adjustment based on the current situation. In this paper, we study the problem of efficient strategy mining in football social network. To address this problem, we propose a quantitative way to combine the aspects of coordination, adaptability, flexibility, and tempo into a passing network, which notably improves the timeliness and information content of the existing network. On this basis, we design a suppression function to express the impact of strategy. Then, we propose a novel passing network and group cooperation scheme based on quantified team performance to obtain the efficient strategies. At last, the experimental results show that, based on the performance of the same team, our optimized passing network has a higher winning rate in practice.

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Westfall, Aubrey, Özge Çelik Russell, Bozena Welborne, and Sarah Tobin. "Islamic Headcovering and Political Engagement: The Power of Social Networks." Politics and Religion 10, no. 1 (February 3, 2017): 3–30. http://dx.doi.org/10.1017/s1755048316000754.

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AbstractThis article explores the relationship between headcovering and women's political participation through an original online survey of 1,917 Muslim-American women. As a visible marker of religious group identity, wearing the headscarf can orient the integration of Muslim women into the American political system via its impact on the openness of their associational life. Our survey respondents who cover are more likely to form insular, strong ties with predominantly Muslim friend networks, which decreased their likelihood of voting and affiliating with a political party. Interestingly, frequency of mosque attendance across both covered and uncovered respondents is associated with a higher probability of political participation, an effect noted in other religious institutions in the United States. Yet, mosque attendance can simultaneously decrease the political engagement of congregants if they are steered into exclusively religious friend groups. This discovery reveals a tension within American Muslim religious life and elaborates on the role of religious institutions vs. social networks in politically mobilizing Muslim-Americans.

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Basirun, Basirun, and Tarto Tarto. "Efektifitas Model Group Investigation dalam Meningkatkan Hasil Belajar IPS Di Sekolah Dasar." Proceedings Series on Social Sciences & Humanities 3 (June 1, 2022): 236–45. http://dx.doi.org/10.30595/pssh.v3i.384.

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Learning in the 21st century directs students to formulate problems and suppress cooperation in groups to be able to think critically and communicatively. Students at this time are expected to be able to investigate a topic by learning discovery, learning content and learning to work cooperatively so that learning objectives are achieved. The purpose of this study was to determine the effectiveness of the Model Group Investigation on improving social studies learning outcomes in elementary schools. The problem-solving effort above is that the teacher must use an appropriate learning model so that students increase their learning outcomes. Group Investigation (GI) is a complex cooperative learning model because it combines the principles of cooperative learning with constructivism-based learning. The essence of the Group Investigation (GI) learning model is that when the teacher's learning process involves small groups where students work using cooperative inquiry. The advantage of using the Group Investigation (GI) type cooperative model is that students work together and interact with each other so as to make students more active in the learning process from the beginning to the end of learning. The methodology used in this research is a qualitative research that is library research that uses journals, books and other literatures as objects of study. This research produces information in the form of notes and descriptive data contained in the text under study. This qualitative research uses descriptive analysis. The descriptive analysis method will provide a clear, objective, systematic, analytical and critical description of the effectiveness of the Group Investigation (GI) model in improving social studies learning outcomes in elementary schools. The results of this study conclude that the Group Investigation (GI) model can improve social studies learning outcomes in elementary schools.

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Karam, Khaled Mostafa, and Helmy Elfiel. "An experimental study of the effect of close reading versus casual reading of social drama on the stimulation of the cognitive capacity of empathy." Scientific Study of Literature 10, no. 1 (December 9, 2020): 35–65. http://dx.doi.org/10.1075/ssol.19016.kar.

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Abstract The current study investigates whether the mode of reading practice has an effect on the degree of readers’ empathic response to social drama, using Enda Walsh’s Chatroom (2015), tackling contemporary adolescents’ problems, as an experimental example. The experiment conducted in this paper hypothesizes that in contrast with casual reading, the conscious techniques of close reading are more effective in promoting participants’ empathic engagement with the dramatic text and improving their capacity of problem discovery and solution. Accordingly, the close reading of social drama can reinforce social integration and work as an antidote to the ostracism of one social group from their community. Moreover, the L2 students’ stimulated empathic response is translated into a written output which is richer in quantity and quality.

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Nair, Savithri Preetha. "“Eyes and No Eyes”: Siwalik Fossil Collecting and the Crafting of Indian Palaeontology (1830–1847)." Science in Context 18, no. 3 (September 2005): 359–92. http://dx.doi.org/10.1017/s026988970500058x.

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The context of discovery and collection of Siwalik fossils had far less to do with science than with the ability to effect “translations” that helped bring together a wide range of social worlds, from the Doab Canal engineers working at the foot of the Hills, surgeon-botanists at the Saharanpur Botanic Gardens, other colonial officials, the native “Hindoo” diggers and collectors, to all of whom the Siwalik Hills was a “boundary object,” a common factor that bound their lives together. In this colonial scientific collecting episode pertaining to the discovery of a new field of research, cooperation between different participants is achieved not by using methods of standardization but through an emphasis on greater heterogeneity, both in terms of the “allies” enrolled and fossils collected. Heterogeneity becomes a factor of strength rather than a weakness that deters the practice of science. This essay employs sociological reflection to examine the context of discovery, collection, and justification of a significant group of fossils in India in the 1830s–40s.

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Journal articles on the topic 'Social group discovery'

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