Relevant bibliographies by topics / Social group discovery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Social group discovery'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "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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Dissertations / Theses on the topic "Social group discovery"

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Lehaire, Benjamin. "L'action privée en droit des pratiques anticoncurrentielles : pour un recours effectif des entreprises et des consommateurs en droits français et canadien." Thesis, Université Laval, 2014. http://www.theses.fr/2014LAROD002/document.

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La régulation de la concurrence est dualiste en France et au Canada. D’un côté, des autorités publiques de régulation encadrent le marché et sanctionnent le cas échéant les pratiques contraires aux dispositions législatives en vigueur, et, d’un autre côté, les victimes de pratiques anticoncurrentielles, c'est-à-dire les consommateurs et les entreprises, peuvent intenter des poursuites privées sur le fondement d’une action en responsabilité civile afin d’obtenir la réparation du préjudice concurrentiel subi. Il s’agit respectivement de l’action publique et de l’action privée en matière de concurrence, qualifiées aussi de public enforcement et de private enforcement du droit de la concurrence. Cependant, dans l’Union européenne, et en France particulièrement, le préjudice concurrentiel reste sans réparation effective. En effet, en France, les consommateurs n’avaient pas, jusqu’à l’adoption de l’action de groupe, de moyen procédural d’accéder au juge de la réparation. De plus, le droit civil français se montre trop rigide pour permettre l’indemnisation d’un préjudice économique aussi complexe que le préjudice concurrentiel. Pour alimenter sa réflexion à ce sujet, le législateur français s’est souvent tourné vers les modèles canadien et québécois pour réformer son droit civil bicentenaire. En effet, le droit civil québécois se montre particulièrement souple dans les litiges liés au droit de la concurrence. De plus, la Loi sur la concurrence canadienne offre un droit à réparation adapté aux contraintes des victimes de pratiques anticoncurrentielles. L’auteur a ainsi cherché à comprendre comment fonctionne le mécanisme canadien de private enforcement pour évaluer si ce modèle, par le truchement du droit civil québécois, pourrait inspirer une réforme du modèle civiliste français adopté par le législateur notamment lors de l’introduction de l’action de groupe. L’analyse se situe principalement en droit civil pour permettre une lecture de l’action privée qui s’éloigne des stéréotypes classiques tirés de l’expérience américaine dans ce domaine. L’objectif ultime de cette comparaison est de rendre effectif le recours privé des entreprises et des consommateurs en droits français et canadien à la suite d’un préjudice découlant d’une violation du droit des pratiques anticoncurrentielles
Regulation of competition is dualistic in France and Canada. On one side, public authority frame the market and impose sanction, if appropriate, to the practices contrary to existing legislation, and, on other side, the victims injured by antitrust practices, that is consumers and company, may bring a private procecussion based on the liability to obtain a compensation for the antitrust injury. They are respectively of public action and private action, also referred to as public enforcement and private enforcement of competition law. However, in the European Union, and particularly in France, the antitrust harm has no effective remedy. Indeed, in France, consumers had not, until the adoption of the collective redress, procedural means to access the judge of compensation. In addition, the French civil law proves too rigid to allow compensation for something as complex as the competitive harm. For its thinking about it, the French legislator has often turned to the Canadian and Quebec models to reform its bicentenary civil law. Indeed, the Quebec civil law is particularly flexible in disputes related to competition law. In addition, the Canadian Competition Act provides a right to compensation adapted to the constraints of the victims of anticompetitive practices. The author has sought to understand how the Canadian private enforcement mechanism works to assess whether this model, through the Quebec civil law, could inspire a reform of French civil law model adopted by the legislature in particular during the introduction of collective redress. The analysis is primarily civil law to allow a reading of private action that departs from conventional stereotypes of the American experience in this field. The ultimate goal of this comparison is to make effective use of the private businesses and consumers in French and Canadian rights following an injury resulting from a violation of anti-competitive practices
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Nielsen, Teresa Raynor. "Teen playlist: music discovery, production, and sharing among a group of high school students." Thesis, 2016. https://hdl.handle.net/2144/19561.

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The purpose of this investigation was to determine if a select group of adolescents exhibited behaviors and practices regarding digital music discovery, production, and sharing that influenced their classroom music instruction. The qualitative study focused on ways in which a group of adolescents informally engaged with digital music in relationship to learning music in their classroom. A constructivist–interpretivist viewpoint framed the theoretical perspective that a person’s knowledge constructions take place within the context of social interaction. In the early 21st century, young people interacting via digital social networking can experience and share music in ways previous generations could not imagine. Peer learning and exchange occur when adolescents share musical ideas and digital artifacts. In addition, autonomous learning takes place while interacting with a digital device. I used Mayer’s (2002) cognitive theory of multimedia learning to support an understanding of the learning effects associated with content-rich digital experiences. Linking social-constructivist and multimedia educational theories provided the conceptual framework needed to extrapolate meaning from adolescents’ preferences, influences, and feelings regarding digital musicking. In an instrumental case study, I followed four high school participants and their music teacher over the course of 6 months. The data consisted of participants’ detailed reflections and perspectives regarding digital music media discovery, production, and sharing. Detailed accounts collected from interviews and observations illustrated the behaviors of the participants, building a thick description. Although the research focused on adolescents, viewpoints of others emerged throughout the study, including those of peers, colleagues, and family members. Consequently, the investigation also considered what music teachers understood about their students’ out of school digital music discovery, production, and sharing. Findings show the convergence and divergence of digital music engagement in a high school music setting. Themes of experiencing music for personal identity, creativity, and popular culture intermix in classroom and informal learning environments. I present outcomes indicating direct implications for music curriculum development and suggest paths to connect in school and out of school music learning via digital music experiences. This study might help contemporary music teachers take advantage of students’ out of school digital music media practices to strengthen in school music programs.
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BAZZANI, Loris. "BEYOND MULTI-TARGET TRACKING: STATISTICAL PATTERN ANALYSIS OF PEOPLE AND GROUPS." Doctoral thesis, 2012. http://hdl.handle.net/11562/410136.

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Ogni giorno milioni e milioni di videocamere monitorano la vita quotidiana delle persone, registrando e collezionando una grande quantità di dati. Questi dati possono essere molto utili per scopi di video-sorveglianza: dalla rilevazione di comportamenti anomali all'analisi del traffico urbano nelle strade. Tuttavia i dati collezionati vengono usati raramente, in quanto non è pensabile che un operatore umano riesca a esaminare manualmente e prestare attenzione a una tale quantità di dati simultaneamente. Per questo motivo, negli ultimi anni si è verificato un incremento della richiesta di strumenti per l'analisi automatica di dati acquisiti da sistemi di video-sorveglianza in modo da estrarre informazione di più alto livello (per esempio, John, Sam e Anne stanno camminando in gruppo al parco giochi vicino alla stazione) a partire dai dati a disposizione che sono solitamente a basso livello e ridondati (per esempio, una sequenza di immagini). L'obiettivo principale di questa tesi è quello di proporre soluzioni e algoritmi automatici che permettono di estrarre informazione ad alto livello da una zona di interesse che viene monitorata da telecamere. Così i dati sono rappresentati in modo da essere facilmente interpretabili e analizzabili da qualsiasi persona. In particolare, questo lavoro è focalizzato sull'analisi di persone e i loro comportamenti sociali collettivi. Il titolo della tesi, beyond multi-target tracking, evidenzia lo scopo del lavoro: tutti i metodi proposti in questa tesi che si andranno ad analizzare hanno come comune denominatore il target tracking. Inoltre andremo oltre le tecniche standard per arrivare a una rappresentazione del dato a più alto livello. Per prima cosa, analizzeremo il problema del target tracking in quanto è alle basi di questo lavoro. In pratica, target tracking significa stimare la posizione di ogni oggetto di interesse in un immagine e la sua traiettoria nel tempo. Analizzeremo il problema da due prospettive complementari: 1) il punto di vista ingegneristico, dove l'obiettivo è quello di creare algoritmi che ottengono i risultati migliori per il problema in esame. 2) Il punto di vista della neuroscienza: motivati dalle teorie che cercano di spiegare il funzionamento del sistema percettivo umano, proporremo in modello attenzionale per tracking e il riconoscimento di oggetti e persone. Il secondo problema che andremo a esplorare sarà l'estensione del tracking alla situazione dove più telecamere sono disponibili. L'obiettivo è quello di mantenere un identificatore univoco per ogni persona nell'intera rete di telecamere. In altre parole, si vuole riconoscere gli individui che vengono monitorati in posizioni e telecamere diverse considerando un database di candidati. Tale problema è chiamato in letteratura re-indetificazione di persone. In questa tesi, proporremo un modello standard di come affrontare il problema. In questo modello, presenteremo dei nuovi descrittori di aspetto degli individui, in quanto giocano un ruolo importante allo scopo di ottenere i risultati migliori. Infine raggiungeremo il livello più alto di rappresentazione dei dati che viene affrontato in questa tesi, che è l'analisi di interazioni sociali tra persone. In particolare, ci focalizzeremo in un tipo specifico di interazione: il raggruppamento di persone. Proporremo dei metodi di visione computazionale che sfruttano nozioni di psicologia sociale per rilevare gruppi di persone. Inoltre, analizzeremo due modelli probabilistici che affrontano il problema di tracking (congiunto) di gruppi e individui.
Every day millions and millions of surveillance cameras monitor the world, recording and collecting huge amount of data. The collected data can be extremely useful: from the behavior analysis to prevent unpleasant events, to the analysis of the traffic. However, these valuable data is seldom used, because of the amount of information that the human operator has to manually attend and examine. It would be like looking for a needle in the haystack. The automatic analysis of data is becoming mandatory for extracting summarized high-level information (e.g., John, Sam and Anne are walking together in group at the playground near the station) from the available redundant low-level data (e.g., an image sequence). The main goal of this thesis is to propose solutions and automatic algorithms that perform high-level analysis of a camera-monitored environment. In this way, the data are summarized in a high-level representation for a better understanding. In particular, this work is focused on the analysis of moving people and their collective behaviors. The title of the thesis, beyond multi-target tracking, mirrors the purpose of the work: we will propose methods that have the target tracking as common denominator, and go beyond the standard techniques in order to provide a high-level description of the data. First, we investigate the target tracking problem as it is the basis of all the next work. Target tracking estimates the position of each target in the image and its trajectory over time. We analyze the problem from two complementary perspectives: 1) the engineering point of view, where we deal with problem in order to obtain the best results in terms of accuracy and performance. 2) The neuroscience point of view, where we propose an attentional model for tracking and recognition of objects and people, motivated by theories of the human perceptual system. Second, target tracking is extended to the camera network case, where the goal is to keep a unique identifier for each person in the whole network, i.e., to perform person re-identification. The goal is to recognize individuals in diverse locations over different non-overlapping camera views or also the same camera, considering a large set of candidates. In this context, we propose a pipeline and appearance-based descriptors that enable us to define in a proper way the problem and to reach the-state-of-the-art results. Finally, the higher level of description investigated in this thesis is the analysis (discovery and tracking) of social interaction between people. In particular, we focus on finding small groups of people. We introduce methods that embed notions of social psychology into computer vision algorithms. Then, we extend the detection of social interaction over time, proposing novel probabilistic models that deal with (joint) individual-group tracking.
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Jonas, Ruth. "Narratives of pastoral care, healing and transformation in a community of laity a practical theological narrative study." Thesis, 2010. http://hdl.handle.net/2263/28981.

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This study’s research approach shows the foundation of an epistemology that is taken from a postmodern, postfoundationalist theology. The research method is embedded in the narrative approach as established in social constructionism. The research method is also further upheld by the Seven Movements Model of doing research, which in this research also accommodates a participatory action research methodology. This research is a study of the narratives of lay people in a local context. It shows and explores the actions of these people in a situation of care and support. Their local context expresses the journey of people who belong to the same church called the Family Trinity Church in Valhalla, Pretoria. Their backgrounds go back to areas like the Western Cape, Northern Cape and Eastern Cape and are not originally from Pretoria. Their social relationships and church affiliation are compiled from a military background. Their narratives that relate to this research originate from a journey of care and support. The narratives of my co-researchers discovered and recognized different themes as divulged from their stories in conjunction with their experiences. Some of these themes were related to the literature studies as part of the dialogues between interdisciplinary conversations in the process of research. Apart from the telling and re-telling of the stories, literature studies were used to open up a process of a deeper understanding of these narratives. Literature was used to critically discuss the narratives as to give more clarity on the actions of the co-researchers. This research shows an open process of discussions and the input of other thoughts of beliefs and reason as presented by the involvement of the scientific community. The in depth discussions helped to clarify the aim and objectives as proved by the outcomes of this research. The outcome of this research is based on the experiences and the real situation that demonstrates a contextual framework. The narratives and the unique research outcomes clearly support the fact that ordinary laypeople can lead and manage a church without the leadership of a fulltime minister. It shows the important relationship of care and support that transpired in a deepened spirituality, which brought about healing and transformation. The uniqueness of this research is based on the eagerness of people who journeyed with one another in a group and who also directed this kindness to others who did not belong to this group.
Thesis (PhD)--University of Pretoria, 2010.
Practical Theology
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Books on the topic "Social group discovery"

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Susan, Pendergast, ed. Belonging: A guide for group facilitators : self and social discovery for children of all ages. San Luis Obispo, Calif: Belonging, 1988.

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Shen, Hua-Wei. Community Structure of Complex Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Green, Tova. Insight and action: How to discover and support a life of integrity and commitment to change. Philadelphia, Pa: New Society Publishers, 1994.

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Subrahmanian, V. S. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba: Lashkar-e-Taiba. New York, NY: Springer New York, 2013.

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Offord, Derek, Vladislav Rjéoutski, and Gesine Argent. The French Language in Russia. NL Amsterdam: Amsterdam University Press, 2018. http://dx.doi.org/10.5117/9789462982727.

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-- With support from the Arts and Humanities Research Council of the UK and the Deutsches Historisches Institut Moskau -- The French Language in Russia provides the fullest examination and discussion to date of the adoption of the French language by the elites of imperial Russia during the eighteenth and nineteenth centuries. It is interdisciplinary, approaching its subject from the angles of various kinds of history and historical sociolinguistics. Beyond its bearing on some of the grand narratives of Russian thought and literature, this book may afford more general insight into the social, political, cultural, and literary implications and effects of bilingualism in a speech community over a long period. It should also enlarge understanding of francophonie as a pan-European phenomenon. On the broadest plane, it has significance in an age of unprecedented global connectivity, for it invites us to look beyond the experience of a single nation and the social groups and individuals within it in order to discover how languages and the cultures and narratives associated with them have been shared across national boundaries.
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Dan, Miller, and Bocher Buzz, eds. The processing pinnacle: An educator's guide to better processing. Oklahoma City, OK: Wood 'N' Barnes Publishing, 2006.

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Thorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.

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Thorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.

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Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.

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Thorkildsen, Theresa A. Adolescents' Self-Discovery in Groups. Taylor & Francis Group, 2016.

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Book chapters on the topic "Social group discovery"

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Moscovici, Serge. "The Discovery of Group Polarization." In Social Judgment and Intergroup Relations, 107–27. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2860-8_5.

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Omidvar-Tehrani, Behrooz, Sihem Amer-Yahia, Pierre-Francois Dutot, and Denis Trystram. "Multi-Objective Group Discovery on the Social Web." In Machine Learning and Knowledge Discovery in Databases, 296–312. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1_19.

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Shuai, Hong-Han, De-Nian Yang, Philip S. Yu, and Ming-Syan Chen. "Scale-Adaptive Group Optimization for Social Activity Planning." In Advances in Knowledge Discovery and Data Mining, 45–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18038-0_4.

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Yang, Chunfeng, Yipeng Zhou, Liang Chen, Xiaopeng Zhang, and Dah Ming Chiu. "Social Group Based Video Recommendation Addressing the Cold-Start Problem." In Advances in Knowledge Discovery and Data Mining, 515–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31750-2_41.

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Louati, Amine, Joyce El Haddad, and Suzanne Pinson. "A Distributed Decision Making and Propagation Approach for Trust-Based Service Discovery in Social Networks." In Group Decision and Negotiation. A Process-Oriented View, 262–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07179-4_30.

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Proverbio, Alice Mado, and Alberto Zani. "Mirror Neurons in Action: ERPs and Neuroimaging Evidence." In Social and Affective Neuroscience of Everyday Human Interaction, 65–84. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_5.

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Abstract According to V.S. Ramachandran (inaugural ‘Decade of the Brain’ lecture at Society for Neuroscience meeting), ‘mirror neurons are to neuroscience what DNA was to biology’. Their discovery (by Rizzolatti’s group) led to the understanding of how hominids rapidly evolved through imitation and cultural transmission in the last 100,000 years. In this chapter, we will review the role of human mirror neuron system (MNS) in several mental and brain functions including: interacting with the environment, grasping objects, empathy and compassion for others, empathizing, emulation and emotional contagion, observing and imitating, learning sports, motor skills and dance, motor rule understanding, understanding the intentions of others, understanding gestures and body language, lip reading, recognizing actions by their sounds, learning to play a musical instrument. The chapter is enriched with a discussion of possible criticalities and caveats.
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Zhang, Huiqi, and Ram Dantu. "Discovery of Social Groups Using Call Detail Records." In On the Move to Meaningful Internet Systems: OTM 2008 Workshops, 489–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88875-8_72.

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Noterman, Astrid A., and Alison Klevnäs. "In Search of an Acceptable Past: History, Archaeology, and ‘Looted’ Graves in the Construction of the Frankish Early Middle Ages." In Bioarchaeology and Social Theory, 133–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03956-0_6.

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AbstractThe Early Middle Ages have provided material for imagining selves and groups in a wide range of contexts since the earliest beginnings of the historical and archaeological disciplines. Considerable recent research has shown how modern political conflicts and regional-national identities have crystallized in this period in particular. This essay traces ways in which early medieval remains, mainly from the richly furnished cemeteries, have been brought into play in developing scholarly and popular accounts of the history of France. During the second half of the nineteenth century, the recovery of considerable numbers of finely worked grave goods from the large rural cemeteries provided material for studying and reevaluating Merovingian-period societies, previously only glimpsed in written sources and largely out-competed as national ancestors by the popular appeal of Gaulish warriors. Yet paradoxically, another form of discovery in the same burial grounds seemed to place them back in the Dark Ages: many graves were found to have been ransacked and robbed soon after burial, making the communities of the time appear lawless and barbarous. Archaeological attitudes towards excavated early medieval graves, and in particular the many thousands of graves already reopened in antiquity, not only highlight key aspects of the development of the discipline, but also reveal ways in which the remains of the dead may be integral to processes of national identity construction.
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Hardon, Anita. "Chemical Breath." In Critical Studies in Risk and Uncertainty, 81–111. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57081-1_3.

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Abstract Chemical Breath presents two focused ethnographies that look at the relationship between young people and the inhaling of tobacco and synthetic cannabinoids. The first comes from a group of young people in Paris who smoke electronic cigarettes (e-cigarettes), who refer to themselves as “vapoteurs,” and the second comes from a group of young people in Makassar who smoke synthetic cannabinoids. The young people partaking in these popular practices value the social bonding they experience; they are also bombarded with social media messages encouraging the use of these products. And both face harms that may increase the precariousness of their lives: the Makassarian youth face imprisonment if discovered, and the health consequences of these synthetics are not fully understood. Similarly, the Parisian youth also risk lung damage, as vaping, while advertised as “safer” and sought out as a means to reduce the harms associated with cigarette smoke, exposes consumers to chemicals that either are understudied or known to be threats to health. The chapter concludes by pointing how these young people’s lives would benefit from sensible government regulation.
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Chiyangwa, Betty, and Pragna Rugunanan. "Experiences of Mozambican Migrant Children in Bushbuckridge, Mpumalanga, South Africa." In IMISCOE Research Series, 169–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92114-9_12.

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AbstractSecond-generation migrant children have difficulties in accessing education in rural areas. This chapter considers the intersection of migration and education in rural contexts in South Africa, often an under-researched area. The research adopted a qualitative approach paradigm. Ten semi-structured, child-centred interviews and two focus group discussions were conducted with ten migrant children and their caregivers in Hluvukani village, rural Bushbuckridge, South Africa. Through a Rational approach, this chapter discovered that second-generation Mozambican migrant children aged from 13-18 years strongly value education access. Some of the challenges experienced result from a lack of identity documentation, experiences of xenophobia, discrimination and social exclusion. This chapter argues that, despite the multiple vulnerabilities, migrant children are not passive recipients. Instead, they are capable beings who sometimes act against various challenges by employing direct, proxy or collective agency.
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Conference papers on the topic "Social group discovery"

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Brodka, Piotr, Stanislaw Saganowski, and Przemyslaw Kazienko. "Group Evolution Discovery in Social Networks." In 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011). IEEE, 2011. http://dx.doi.org/10.1109/asonam.2011.69.

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Mardenfeld, Steve, Daniel Boston, Susan Juan Pan, Quentin Jones, Adriana Iamntichi, and Cristian Borcea. "GDC: Group Discovery Using Co-location Traces." In 2010 IEEE Second International Conference on Social Computing (SocialCom). IEEE, 2010. http://dx.doi.org/10.1109/socialcom.2010.99.

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Huang, Shu. "Mixed Group Discovery: Incorporating Group Linkage with Alternatively Consistent Social Network Analysis." In 2010 IEEE Fourth International Conference on Semantic Computing (ICSC). IEEE, 2010. http://dx.doi.org/10.1109/icsc.2010.26.

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Shang, Xufeng, and Yubo Yuan. "Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery." In 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2012. http://dx.doi.org/10.1109/cyberc.2012.14.

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Ebeling, Régis, Carlos Córdova Sáenz, Jeferson Campos Nobre, and Karin Becker. "Quarenteners vs. Cloroquiners: a framework to analyze the effect of political polarization on social distance stances." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11963.

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The worldwide COVID-19 pandemic has struck people’s lives overnight. With an alarming contagious rate and no effective treatments or vaccines, it has evoked all sorts of reactions. In this paper, we propose a framework to analyze how political polarization affects groups’ behavior with opposed stances, using the Brazilian COVID polarized scenario as a case study. Two Twitter groups represent the pro/against social isolation stances referred to as Chloroquiners and Quarenteners. The framework encompasses: a) techniques to automatically infer from users political orientation, b) topic modeling to discover the homogeneity of concerns expressed by each group; c) network analysis and community detection to characterize their behavior as a social network group and d) analysis of linguistic characteristics to identify psychological aspects. Our main findings confirm that Cloroquiners are right-wing partisans, whereas Quarenteners are more related to the left-wing. The political polarization of Chloroquiners and Quarenteners influence the arguments of economy and life, and support/opposition to the president. As a group, the network of Chloroquiners is more closed and connected, and Quarenteners have a more diverse political engagement. In terms of psychological aspects, polarized groups come together on cognitive issues and negative emotions.
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Fard, Amin Milani, and Martin Ester. "Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.435.

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Saisan, Payam, Anne Russell, Mark Clark, and Stephen Krotosky. "System Theoretic Formalization of Social Group Processes and Optimal Evidence-Indicator Discovery." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.446.

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He, Jianping, David J. Miller, and George Kesidis. "Latent Interest-Group Discovery and Management by Peer-to-Peer Online Social Networks." In 2013 International Conference on Social Computing (SocialCom). IEEE, 2013. http://dx.doi.org/10.1109/socialcom.2013.31.

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Chen, Lu, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, and Jianxin Li. "Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403114.

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Sharma, Karishma, Yizhou Zhang, Emilio Ferrara, and Yan Liu. "Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447548.3467391.

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Reports on the topic "Social group discovery"

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Shaw, Kristi Lee, and Geoff Bridgman. Creating Appreciation and Community Support for Mothers Caring for a Child with an Anxiety Disorder. Unitec ePress, February 2023. http://dx.doi.org/10.34074/mono.097.

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This research examined a unique approach to anxiety disorder, one of the most prevalent and growing mental health concerns internationally. It uncovered the mostly invisible and challenging experiences of mothers caring for a child with an anxiety disorder and the value of their reciprocal relationships with their children for both their health and wellbeing. In addition, it explored social identity in making meaningful connection using a generative action-oriented social approach to address anxiety in the community. An appreciative inquiry, using social constructionist theory, and underpinned by elements of kaupapa Māori values, was utilised to explore the research questions. The data was collected via paired interviews, focus groups and small questionnaires with three to four mothers, after which thematic analysis was undertaken to identify important themes.There were four key themes discovered in the findings: (1) the mothers’ ongoing and challenging experiences of being silenced and isolated on the fringes, navigating the quagmire of social and institutional systems to help them help their children; (2) the mothers’ learning to cope by creating calm in the home, the child, and in themselves, often requiring them to ‘suspend’ their lives until their children become more independent; (3) the mothers employing a mother as advocate identity to face the challenges, and co-creating a mother as advocate group identity to continue to face those challenges to design a collective initiative;and (4) the value of freedom that the mothers experienced participating in the appreciative inquiry process with other mothers facing similar challenges and sharing their stories.This study demonstrates how appreciative inquiry is aligned with and supports the value of social identity theory and creating meaningful connections to help position and address anxiety disorder in the community. A key insight gained in this study is that our current social and institutional systems create disconnection in many facets of Western life, which contributes to the generation and perpetuation of stigmatisation, isolation and anxiety disorder. Within a Western capitalistic and individualistic culture, mental illness has become predominantly pathologised and medicated, positioning anxiety disorder within the child, and relegating the social dimension of the biopsychosocial approach as almost irrelevant. As mothers in this system spend valuable energy advocating for more support for their children, they put their own mental health at risk. There is no one solution; however, this study demonstrates that when mothers are supported through an appreciative inquiry process, strengthening their personal and social identities, there is the potential for health and wellbeing to increase for them, their children and the community.
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Corriveau, L., J. F. Montreuil, O. Blein, E. Potter, M. Ansari, J. Craven, R. Enkin, et al. Metasomatic iron and alkali calcic (MIAC) system frameworks: a TGI-6 task force to help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329093.

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Australia's and China's resources (e.g. Olympic Dam Cu-U-Au-Ag and Bayan Obo REE deposits) highlight how discovery and mining of iron oxide copper-gold (IOCG), iron oxide±apatite (IOA) and affiliated primary critical metal deposits in metasomatic iron and alkali-calcic (MIAC) mineral systems can secure a long-term supply of critical metals for Canada and its partners. In Canada, MIAC systems comprise a wide range of undeveloped primary critical metal deposits (e.g. NWT NICO Au-Co-Bi-Cu and Québec HREE-rich Josette deposits). Underexplored settings are parts of metallogenic belts that extend into Australia and the USA. Some settings, such as the Camsell River district explored by the Dene First Nations in the NWT, have infrastructures and 100s of km of historic drill cores. Yet vocabularies for mapping MIAC systems are scanty. Ability to identify metasomatic vectors to ore is fledging. Deposit models based on host rock types, structural controls or metal associations underpin the identification of MIAC-affinities, assessment of systems' full mineral potential and development of robust mineral exploration strategies. This workshop presentation reviews public geoscience research and tools developed by the Targeted Geoscience Initiative to establish the MIAC frameworks of prospective Canadian settings and global mining districts and help de-risk exploration for IOCG, IOA and affiliated primary critical metal deposits. The knowledge also supports fundamental research, environmental baseline assessment and societal decisions. It fulfills objectives of the Canadian Mineral and Metal Plan and the Critical Mineral Mapping Initiative among others. The GSC-led MIAC research team comprises members of the academic, private and public sectors from Canada, Australia, Europe, USA, China and Dene First Nations. The team's novel alteration mapping protocols, geological, mineralogical, geochemical and geophysical framework tools, and holistic mineral systems and petrophysics models mitigate and solve some of the exploration and geosciences challenges posed by the intricacies of MIAC systems. The group pioneers the use of discriminant alteration diagrams and barcodes, the assembly of a vocab for mapping and core logging, and the provision of field short courses, atlas, photo collections and system-scale field, geochemical, rock physical properties and geophysical datasets are in progress to synthesize shared signatures of Canadian settings and global MIAC mining districts. Research on a metamorphosed MIAC system and metamorphic phase equilibria modelling of alteration facies will provide a foundation for framework mapping and exploration of high-grade metamorphic terranes where surface and near surface resources are still to be discovered and mined as are those of non-metamorphosed MIAC systems.
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