Статті в журналах: "Multiple social systems"

1

Parthasarathy, Madhavan, Sunkyu Jun, and Robert A. Mittelstaedt. "Multiple diffusion and multicultural aggregate social systems." International Marketing Review 14, no. 4 (August 1997): 233–47. http://dx.doi.org/10.1108/02651339710173435.

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Van Dessel, Pieter, Bertram Gawronski, and Jan De Houwer. "Does Explaining Social Behavior Require Multiple Memory Systems?" Trends in Cognitive Sciences 23, no. 5 (May 2019): 368–69. http://dx.doi.org/10.1016/j.tics.2019.02.001.

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3

Yu, Wei, and Shijun Li. "Recommender systems based on multiple social networks correlation." Future Generation Computer Systems 87 (October 2018): 312–27. http://dx.doi.org/10.1016/j.future.2018.04.079.

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4

Walby, Sylvia. "Complexity Theory, Systems Theory, and Multiple Intersecting Social Inequalities." Philosophy of the Social Sciences 37, no. 4 (December 2007): 449–70. http://dx.doi.org/10.1177/0048393107307663.

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5

Plitt Donaldson, Linda. "Compassion in social work practice at multiple systems levels." Journal of Religion & Spirituality in Social Work: Social Thought 36, no. 4 (October 2, 2017): 391. http://dx.doi.org/10.1080/15426432.2017.1392800.

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Hedayatifar, Leila, Rachel A. Rigg, Yaneer Bar-Yam, and Alfredo J. Morales. "US social fragmentation at multiple scales." Journal of The Royal Society Interface 16, no. 159 (October 9, 2019): 20190509. http://dx.doi.org/10.1098/rsif.2019.0509.

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Despite global connectivity, societies seem to be increasingly polarized and fragmented. This phenomenon is rooted in the underlying complex structure and dynamics of social systems. Far from homogeneously mixing or adopting conforming views, individuals self-organize into groups at multiple scales, ranging from families up to cities and cultures. In this paper, we study the fragmented structure of American society using mobility and communication networks obtained from geo-located social media data. We find self-organized patches with clear geographical borders that are consistent between physical and virtual spaces. The patches have multi-scale structure ranging from parts of a city up to the entire nation. Their significance is reflected in distinct patterns of collective interests and conversations. Finally, we explain the patch emergence by a model of network growth that combines mechanisms of geographical distance gravity, preferential attachment and spatial growth. Our observations are consistent with the emergence of social groups whose separated association and communication reinforce distinct identities. Rather than eliminating borders, the virtual space reproduces them as people mirror their offline lives online. Understanding the mechanisms driving the emergence of fragmentation in hyper-connected social systems is imperative in the age of the Internet and globalization.

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Flack, Jessica C. "Multiple time-scales and the developmental dynamics of social systems." Philosophical Transactions of the Royal Society B: Biological Sciences 367, no. 1597 (July 5, 2012): 1802–10. http://dx.doi.org/10.1098/rstb.2011.0214.

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To build a theory of social complexity, we need to understand how aggregate social properties arise from individual interaction rules. Here, I review a body of work on the developmental dynamics of pigtailed macaque social organization and conflict management that provides insight into the mechanistic causes of multi-scale social systems. In this model system coarse-grained, statistical representations of collective dynamics are more predictive of the future state of the system than the constantly in-flux behavioural patterns at the individual level. The data suggest that individuals can perceive and use these representations for strategical decision-making. As an interaction history accumulates the coarse-grained representations consolidate. This constrains individual behaviour and provides the foundations for new levels of organization. The time-scales on which these representations change impact whether the consolidating higher-levels can be modified by individuals and collectively. The time-scales appear to be a function of the ‘coarseness’ of the representations and the character of the collective dynamics over which they are averages. The data suggest that an advantage of multiple timescales is that they allow social systems to balance tradeoffs between predictability and adaptability. I briefly discuss the implications of these findings for cognition, social niche construction and the evolution of new levels of organization in biological systems.

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Wang, Feng, Jinhua She, Yasuhiro Ohyama, and Min Wu. "Learning Multiple Network Embeddings for Social Influence Prediction." IFAC-PapersOnLine 53, no. 2 (2020): 2868–73. http://dx.doi.org/10.1016/j.ifacol.2020.12.2531.

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9

Garrett, Patricia. "Social stratification and multiple enterprises: Some implications for farming systems research." Journal of Rural Studies 2, no. 3 (January 1986): 209–20. http://dx.doi.org/10.1016/0743-0167(86)90005-7.

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Amodio, David M., and Jeffrey J. Berg. "Toward a Multiple Memory Systems Model of Attitudes and Social Cognition." Psychological Inquiry 29, no. 1 (January 2, 2018): 14–19. http://dx.doi.org/10.1080/1047840x.2018.1435620.

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11

Hanberger, Anders, and Lena Lindgren. "Evaluation systems in local eldercare governance." Journal of Social Work 19, no. 2 (March 1, 2018): 233–52. http://dx.doi.org/10.1177/1468017318760788.

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Summary This article explores how three evaluation systems in eldercare governance, two national and one local, operate and interact at the municipal, administrative, and service levels in a Swedish municipality. The case study focuses on the three systems’ contributions to accountability and to improving eldercare quality. It is based on multiple sources, including 28 interviews with local key actors involved in local eldercare governance, and the results derive from a directed content analysis guided by four research questions. Findings The study demonstrates that the three evaluation systems support accountability and quality improvement in different ways and have different consequences for local actors. The systems create multiple accountability problems and have multiple constitutive effects, for example, creating different notions of what quality in eldercare means. The systems’ contributions to improving eldercare quality differed: the net effect of the two national systems was negative, whereas the local system has helped improve eldercare quality without any identified negative effects so far. Applications The article broadens our theoretical understanding and knowledge of regulatory mechanisms in eldercare governance. It has significance for eldercare policy by finding that policymakers and service providers must be aware of and manage multiple evaluation systems and accountability problems. Its implication for eldercare practice is that local actors must build evaluation capacity to manage existing evaluation systems in order to improve their own practices.

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Spaiser, Viktoria, Peter Hedström, Shyam Ranganathan, Kim Jansson, Monica K. Nordvik, and David J. T. Sumpter. "Identifying Complex Dynamics in Social Systems." Sociological Methods & Research 47, no. 2 (January 28, 2016): 103–35. http://dx.doi.org/10.1177/0049124116626174.

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It is widely recognized that segregation processes are often the result of complex nonlinear dynamics. Empirical analyses of complex dynamics are however rare, because there is a lack of appropriate empirical modeling techniques that are capable of capturing complex patterns and nonlinearities. At the same time, we know that many social phenomena display nonlinearities. In this article, we introduce a new modeling tool in order to partly fill this void in the literature. Using data of all secondary schools in Stockholm county during the years 1990 to 2002, we demonstrate how the methodology can be applied to identify complex dynamic patterns like tipping points and multiple phase transitions with respect to segregation. We establish critical thresholds in schools’ ethnic compositions, in general, and in relation to various factors such as school quality and parents’ income, at which the schools are likely to tip and become increasingly segregated.

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13

Berntson, Gary G., and Greg J. Norman. "Multilevel analysis: Integrating multiple levels of neurobehavioral systems." Social Neuroscience 16, no. 1 (January 2, 2021): 18–25. http://dx.doi.org/10.1080/17470919.2021.1874513.

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14

Zhan, Qianyi, Jiawei Zhang, and Philip S. Yu. "Integrated anchor and social link predictions across multiple social networks." Knowledge and Information Systems 60, no. 1 (May 22, 2018): 303–26. http://dx.doi.org/10.1007/s10115-018-1210-1.

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15

Feng, Yong, Heng Li, and Zhuo Chen. "Improving Recommendation Accuracy and Diversity via Multiple Social Factors and Social Circles." International Journal of Web Services Research 11, no. 4 (October 2014): 32–46. http://dx.doi.org/10.4018/ijwsr.2014100103.

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Recommender systems (RS) have been widely employed to suggest personalized online information to simplify user's information discovery process. With the popularity of online social networks, analysis and mining of social factors and social circles have been utilized to support more effective recommendations, but have not been fully investigated. In this paper, the authors propose a novel recommendation model with the consideration of more comprehensive social factors and topics that user is explicitly and implicitly interested in. Concretely, to further enhance recommendation accuracy, four social factors, individual preference, interpersonal trust influence, interpersonal interest similarity and interpersonal closeness degree, are simultaneously injected into our recommendation model based on probabilistic matrix factorization. Meanwhile, the authors explore several new methods to measure these social factors. Moreover, the authors infer explicit and implicit social circles to enhance the performance of recommendation diversity. Finally, the authors conduct a series of experiments on publicly available data. Experimental results show the proposed model achieves significantly improved performance (accuracy and diversity) over the existing models in which social information have not been fully considered.

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Hagendoorn, Louk. "Intergroup Biases in Multiple Group Systems: The Perception of Ethnic Hierarchies." European Review of Social Psychology 6, no. 1 (January 1995): 199–228. http://dx.doi.org/10.1080/14792779443000058.

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17

Stelzl, Monika, and Clive Seligman. "Multiplicity Across Cultures: Multiple National Identities and Multiple Value Systems." Organization Studies 30, no. 9 (September 2009): 959–73. http://dx.doi.org/10.1177/0170840609338984.

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When we ask ourselves the question ‘Who am I?’, we usually utilize various self-descriptions through which we defined ourselves in the past. Those self-definitions may depend on group memberships, roles and social categories such as culture or religion. We were interested in the question of whether people with dual national identities associate distinct national value systems with each of those identities. In particular, we had focused on first and second generation Asian-Canadians and tested the hypothesis that distinct value systems are linked to each of one’s two national identities. Participants of South-East and East Asian origin or descent completed Schwartz’s (1992) value survey, once as Asians and once as Canadians. The participants revealed discrepancies in how they ranked the value types when instructed to do so as Canadians and as Asians. Specifically, the value types of universalism, self-direction, hedonism and stimulation were rated as significantly more important when participants were responding as Canadians, and the value types of conformity and tradition were rated significantly higher when the same participants were responding as Asians. These results are consistent with the results of other research that compares separate samples in Asia and in the West. But, the present research is fairly unusual in its examination and demonstration of separate value systems within individuals who have two national identities. The implications of having separate value systems associated with each of one’s national identities for the interplay between self-identification and culture and for value theory are discussed.

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18

Imran, Muhammad, Hasan Ali Khattak, David Millard, Thanassis Tiropanis, Tariq Bashir, and Ghufran Ahmed. "Calculating Trust Using Multiple Heterogeneous Social Networks." Wireless Communications and Mobile Computing 2020 (February 21, 2020): 1–14. http://dx.doi.org/10.1155/2020/8545128.

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In today’s Internet, a web user becomes members of multiple social networks due to different types of services provided by each of these networks. This creates an opportunity to make trust decisions that go beyond individual social networks, since these networks provide single perspective of trust. To make trust inference over multiple social networks, these networks need to be consolidated. It is nontrivial as these networks are of heterogeneous nature due to different naming conventions used in these networks. Furthermore, trust metrics extracted from these networks are also varied in nature due to different trust evaluation algorithms used in each of these networks. Heterogeneity of these social networks can be overcome by using semantic technologies as it allows us to represent knowledge using ontologies. Trust data can be consolidated by using such data fusion techniques which not only provide but also preserve trust data integrity from each of the individual social network profiles. The proposed semantic framework is evaluated using two sets of experiments. Through simulations in this work, we analysed various techniques for data fusion. For identifying suitable technique that preserves the integrity of trust consolidated from each of the individual networks, analysis revealed that Weighted Ordered Weighted Averaging parameter best aggregated trust data, and, unlike other techniques, it preserved the integrity of trust from each individual network for varying participant overlap and tie overlap (p≤0.05). Similarly, for experimental analysis, we used findings of the simulation study about the best trust aggregation technique and applied the proposed framework on real-life trust data between participants, which we extracted from pairs of professional social networks. Analysis partially proved our hypothesis about generating better trust values from consolidated multiple heterogeneous networks. We witnessed an improvement in overall results for all the participants who were part of multiple social networks (p≤0.05), while disproving the claim for those existing in nonoverlapping regions of the social networks.

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Vosler, Nancy R., and Sudha Nair. "Families, children, poverty: education for social work practice at multiple systems levels." International Social Work 36, no. 2 (April 1993): 159–72. http://dx.doi.org/10.1177/002087289303600206.

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20

Hagenlocher, Michael, Fabrice G. Renaud, Susanne Haas, and Zita Sebesvari. "Vulnerability and risk of deltaic social-ecological systems exposed to multiple hazards." Science of The Total Environment 631-632 (August 2018): 71–80. http://dx.doi.org/10.1016/j.scitotenv.2018.03.013.

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Agrawal, Arun, and Ashwini Chhatre. "Against mono-consequentialism: Multiple outcomes and their drivers in social–ecological systems." Global Environmental Change 21, no. 1 (February 2011): 1–3. http://dx.doi.org/10.1016/j.gloenvcha.2010.12.007.

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Nielsen, Janni Grouleff, Rainer Lueg, and Dennis van Liempd. "Managing Multiple Logics: The Role of Performance Measurement Systems in Social Enterprises." Sustainability 11, no. 8 (April 18, 2019): 2327. http://dx.doi.org/10.3390/su11082327.

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This systematic literature review explores the role of performance measurement systems (PMSs) in managing multiple logics in social enterprises. Social enterprises are hybrid organizations that simultaneously pursue a social mission (social logic) and financial sustainability (commercial logic). Satisfying multiple logics often leads to tensions, which are addressed and managed through PMSs. For this, we conduct a systematic literature review to derive our conclusions. PMSs in social enterprises may assume the roles of mediator, disrupter and symbolizer. The PMS works as a mediator in combination with sincere stakeholder involvement when both logics are represented in the PMS. If a PMS represents only one logic, it increases tensions and the PMS becomes a disrupter. When the PMS is used to enhance legitimacy, the PMS assumes the role of a symbolizer. In particular, we find that PMSs are most useful for monitoring performance and enhancing legitimacy. The role of PMSs in decision-making is limited due to difficulties of integrating social and commercial logics into a single PMS. Several factors—such as decision-makers’ influence—further shape the role of PMSs.

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Gül, Sait, Özgür Kabak, and Ilker Topcu. "A multiple criteria credit rating approach utilizing social media data." Data & Knowledge Engineering 116 (July 2018): 80–99. http://dx.doi.org/10.1016/j.datak.2018.05.005.

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Jennings, Edel, Mark Roddy, Alexander J. Leckey, and Guy Feigenblat. "Use of Scripted Role-Play in Evaluation of Multiple-User Multiple-Service Mobile Social and Pervasive Systems." International Journal of Mobile Human Computer Interaction 7, no. 4 (October 2015): 35–52. http://dx.doi.org/10.4018/ijmhci.2015100103.

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Mobile and social computing is rapidly evolving towards a deeper integration with the physical world due to the proliferation of smart connected objects. It is widely acknowledged that involving end users in the design, development and evaluation of applications that function within the resulting complex socio-technical systems is crucial. However, reliable methods for managing evaluation of medium fidelity prototypes, whose utility is often dependent on rich data sets and/or the presence of multiple users simultaneously engaging in multiple activities, have not yet emerged. The authors report on the use of scripted role-play as an experimental approach applied in a mixed-methods evaluation of early prototypes of a suite of professional networking applications targeting a conference attendance scenario. Their evaluation was significantly constrained by the limited availability of a small cohort of end users for a relatively short period of time, which pose a challenge to define interactions that would ensure these users could experience and understand the novel application features. The authors observed that participatory role-play facilitated deeper user engagement with, exploration of, and discussion about, the mobile social applications than would have been possible with traditional usability approaches given the small user cohort and the time-constrained conditions.

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Chang, Lucy, Haemy Lee Masson, and Leyla Isik. "A multiple regression model of social processing during naturalistic movie viewing." Journal of Vision 21, no. 9 (September 27, 2021): 2954. http://dx.doi.org/10.1167/jov.21.9.2954.

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Bin, Sheng, and Gengxin Sun. "Matrix Factorization Recommendation Algorithm Based on Multiple Social Relationships." Mathematical Problems in Engineering 2021 (February 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/6610645.

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With the widespread use of social networks, social recommendation algorithms that add social relationships between users to recommender systems have been widely applied. Existing social recommendation algorithms only introduced one type of social relationship to the recommendation system, but in reality, there are often multiple social relationships among users. In this paper, a new matrix factorization recommendation algorithm combined with multiple social relationships is proposed. Through experiment results analysis on the Epinions dataset, the proposed matrix factorization recommendation algorithm has a significant improvement over the traditional and matrix factorization recommendation algorithms that integrate a single social relationship.

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Truong, V. Dao, Stephen Graham Saunders, and X. Dam Dong. "Systems social marketing: a critical appraisal." Journal of Social Marketing 9, no. 2 (April 8, 2019): 180–203. http://dx.doi.org/10.1108/jsocm-06-2018-0062.

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Purpose Social marketing has gained widespread recognition as a means of motivating behaviour change in individuals for societal good. Many opinions have been shared regarding its potential to affect society or systems-wide change, leading to the macro-or systems social marketing (SSM) concepts and ideas. This paper aims to critically appraise the SSM literature, identify key features and highlight gaps for future research. Design/methodology/approach A search was conducted of peer-reviewed SSM articles published from 2000 to March 2018 inclusive. A number of online databases were mined, including but not limited to Google, Google Scholar, Scopus, PubMed, Cochrane and Medline. Key social marketing outlets (Social Marketing Quarterly and Journal of Social Marketing) were browsed manually. In total, 28 SSM articles were identified. Findings SSM adopts a dynamic systems thinking approach; it is an orientation, not a theory or model; it is multi-method; and it recognises that intervention can occur on multiple levels. Yet, greater attention should be given to the complexities of the systems context and the power structures and relations that exist between stakeholders. Significant issues also include stakeholder voice and participation, the use and reporting of theories and models, the measurement of long-term intervention outcomes and the undesirable impacts of SSM. Originality/value This paper identifies issues that need to be addressed if social marketing is to become a more system-oriented means to positively influence societal change. Implications for theoretical and practical development of the social marketing field are provided.

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28

Letch, Nick. "Ecologies of interests in social information systems for social benefit." Information Technology & People 29, no. 1 (March 7, 2016): 14–30. http://dx.doi.org/10.1108/itp-09-2014-0218.

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Purpose – The purpose of this paper is to explore a class of social information systems which are purposefully designed to address wider social objectives. Specifically, the paper investigates the embedding of ICTs into the wider networks of social policy action and explores issues associated with the integration of social information systems into complex problem domains. Design/methodology/approach – A case study of a social information system and its integration into networks of actors with an interest in the underlying social concern is presented. The system under analysis is first described in terms of the emerging characteristics used to define this class of social information system. The wider policy network in which the social information system is implemented is then described and the integration of the social information system into the wider network is discussed. Findings – The case study illustrates that for complex social problems, there can be multiple interests embedded in an ecology of sub-networks. Each sub-network can make use of the social information system in different ways which creates difficulties in the social information system gaining sufficient legitimacy to be institutionalised into the wider policy network. Originality/value – The paper extends understanding of social information systems by proposing that a class of social information systems are developed to pursue human benefit. Recognising the context in which these systems are integrated as an ecology of interests, shifts the focus of social information systems design from examining the requirements of a relatively homogenous community of actors to understanding how social information systems can be developed to enable information exchange within and across heterogeneous communities.

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Lampinen, Airi. "Why we need to examine multiple social network sites." Communication and the Public 1, no. 4 (November 22, 2016): 489–93. http://dx.doi.org/10.1177/2057047316681171.

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The hyper-concentration of research on mainstream social media sites like Facebook and Twitter comes at the cost of lesser emphasis on, if not the exclusion of, other platforms and practices. How might our conceptualizations of social media and social interaction change if we were to explore a wider range of systems to enrich our theorizing? This piece considers three examples of how looking beyond the usual suspects may broaden our understanding of how social media sites play into privacy management, identity work, and interpersonal relationships. I argue that our theorizing of social media and the practices that surround them gains strength from exploring varied sites of study.

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Poecze, Flora, and Christine Strauss. "Social Capital on Social Media—Concepts, Measurement Techniques and Trends in Operationalization." Information 11, no. 11 (November 4, 2020): 515. http://dx.doi.org/10.3390/info11110515.

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The introduction of the Web 2.0 era and the associated emergence of social media platforms opened an interdisciplinary research domain, wherein a growing number of studies are focusing on the interrelationship of social media usage and perceived individual social capital. The primary aim of the present study is to introduce the existing measurement techniques of social capital in this domain, explore trends, and offer promising directions and implications for future research. Applying the method of a scoping review, a set of 80 systematically identified scientific publications were analyzed, categorized, grouped and discussed. Focus was placed on the employed viewpoints and measurement techniques necessary to tap into the possible consistencies and/or heterogeneity in this domain in terms of operationalization. The results reveal that multiple views and measurement techniques are present in this research area, which might raise a challenge in future synthesis approaches, especially in the case of future meta-analytical contributions.

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Songmuang, Pokpong, Chainarong Sirisup, and Aroonwan Suebsriwichai. "Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks." Information 12, no. 5 (May 18, 2021): 214. http://dx.doi.org/10.3390/info12050214.

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The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents the use of information from non-overlapping users as additional features in training a prediction model using a machine-learning approach. The proposed features are designed to use together with the common features as extra features to help in tuning up for a better classification model. The social network data sources used in this paper are Twitter and Facebook where Twitter is a main data for prediction and Facebook is a supporting data. For evaluations, a comparison using different machine-learning techniques, feature settings, and different network-density level of data source is studied. The experimental results can be concluded that the prediction model using a combination of the proposed features and the common features with Random Forest technique gained the best efficiency using percentage amount of recovering missing links and F1 score. The model of combined features yields higher percentage of recovering link by an average of 23.25% and the F1-measure by an average of 19.80% than the baseline of multi-social network source.

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Maruska, Karen P., and Julie M. Butler. "Reproductive- and Social-State Plasticity of Multiple Sensory Systems in a Cichlid Fish." Integrative and Comparative Biology 61, no. 1 (May 10, 2021): 249–68. http://dx.doi.org/10.1093/icb/icab062.

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Synopsis Intra- and inter-sexual communications are vital to the survival and reproductive success of animals. In species that cycle in and out of breeding or other physiological condition, sensory function can be modulated to optimize communication at crucial times. Little is known, however, about how widespread this sensory plasticity is across taxa, whether it occurs in multiple senses or both sexes within a species, and what potential modulatory substances and substrates are involved. Thus, studying modulation of sensory communication in a single species can provide valuable insights for understanding how sensory abilities can be altered to optimize detection of salient signals in different sensory channels and social contexts. The African cichlid fish Astatotilapia burtoni uses multimodal communication in social contexts such as courtship, territoriality, and parental care and shows plasticity in sensory abilities. In this review, we synthesize what is known about how visual, acoustic, and chemosensory communication is used in A. burtoni in inter- and intra-specific social contexts, how sensory funtion is modulated by an individual’s reproductive, metabolic, and social state, and discuss evidence for plasticity in potential modulators that may contribute to changes in sensory abilities and behaviors. Sensory plasticity in females is primarily associated with the natural reproductive cycle and functions to improve detection of courtship signals (visual, auditory, chemosensory, and likely mechanosensory) from high-quality males for reproduction. Plasticity in male sensory abilities seems to function in altering their ability to detect the status of other males in the service of territory ownership and future reproductive opportunities. Changes in different classes of potential modulators or their receptors (steroids, neuropeptides, and biogenic amines) occur at both peripheral sensory organs (eye, inner ear, and olfactory epithelium) and central visual, olfactory, and auditory processing regions, suggesting complex mechanisms contributing to plasticity of sensory function. This type of sensory plasticity revealed in males and females of A. burtoni is likely more widespread among diverse animals than currently realized, and future studies should take an integrative and comparative approach to better understand the proximate and ultimate mechanisms modulating communication abilities across taxa.

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Li, Weihua, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, and Minjie Zhang. "Social influence minimization based on context-aware multiple influences diffusion model." Knowledge-Based Systems 227 (September 2021): 107233. http://dx.doi.org/10.1016/j.knosys.2021.107233.

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Bruce, Ann, Cornell Jackson, and Chrysa Lamprinopoulou. "Social networks and farming resilience." Outlook on Agriculture 50, no. 2 (January 12, 2021): 196–205. http://dx.doi.org/10.1177/0030727020984812.

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The resilience of food systems, including agricultural systems, has become a high profile issue in the face multiple disease, environmental and social challenges. Much of agriculture takes place in remote locations where social networks, or connections between individual actors, have been implicated in increasing resilience. We examine a case study of Orkney, Scotland, a remote rural location, using interviews and Social Network Analysis. This case study provides evidence indicative of resilient patterns of social networks, emphasising the importance of schools, transport links and livestock markets in creating and maintaining these networks. These domains are rarely included in agricultural policy, highlighting the need for wider framing of questions. Our research suggests Social Network Analysis is a fruitful avenue for investigating resilience of agricultural systems that can identify hitherto hidden elements.

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Rhodes, Marjorie, and Andrew Baron. "The Development of Social Categorization." Annual Review of Developmental Psychology 1, no. 1 (December 24, 2019): 359–86. http://dx.doi.org/10.1146/annurev-devpsych-121318-084824.

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Social categorization is a universal mechanism for making sense of a vast social world with roots in perceptual, conceptual, and social systems. These systems emerge strikingly early in life and undergo important developmental changes across childhood. The development of social categorization entails identifying which ways of classifying people are culturally meaningful, how these categories might be used to predict, explain, and evaluate the behavior of other people, and how one's own identity relates to these systems of categorization and representation. Social categorization can help children simplify and understand their social environment but has detrimental consequences in the forms of stereotyping, prejudice, and discrimination. Thus, understanding how social categorization develops is a central problem for the cognitive, social, and developmental sciences. This review details the multiple developmental processes that underlie this core psychological capacity.

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Cash, Belinda, Suzanne Hodgkin, and Jeni Warburton. "A transformative approach to systems theory in caregiving research." Qualitative Social Work 18, no. 4 (December 25, 2017): 710–26. http://dx.doi.org/10.1177/1473325017749988.

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This paper illustrates how systems theory can be used in social work research design to understand the systemic issues associated with spousal care in rural Australia. Spousal caregiving is embedded within multiple formal and informal systems, including family, community, health and aged care practice, social policy, and social and cultural norms. It is therefore a complex phenomenon to explore in social research, with each of these systems interacting with and influencing other aspects of the care system. The purpose of this paper is to provide an illustration of a research design that explores this systemic complexity. The design is conceptually underpinned by the transformative paradigm; a critical approach that reflects social work principles of social justice. The methodology is based on an ecosystems approach to assessment, using multiple methods to explore interactions between systems of care at policy, practice and individual levels. This application of systems theory to research presents an innovative opportunity for social work research to reflect long-established practices of understanding complex phenomenon within its sociocultural context.

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Chou, Chung-Kuang, and Ming-Syan Chen. "Learning Multiple Factors-Aware Diffusion Models in Social Networks." IEEE Transactions on Knowledge and Data Engineering 30, no. 7 (July 1, 2018): 1268–81. http://dx.doi.org/10.1109/tkde.2017.2786209.

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Good, Doreen M., Dolores A. Bower, and Richard L. Einsporn. "Social Support: Gender Differences in Multiple Sclerosis Spousal Caregivers." Journal of Neuroscience Nursing 27, no. 5 (October 1995): 305–11. http://dx.doi.org/10.1097/01376517-199510000-00012.

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Kadam, Kalyani Dhananjay, Swati Ahirrao, and Ketan Kotecha. "Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing." Data 6, no. 10 (September 28, 2021): 102. http://dx.doi.org/10.3390/data6100102.

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Image forgery has grown in popularity due to easy access to abundant image editing software. These forged images are so devious that it is impossible to predict with the naked eye. Such images are used to spread misleading information in society with the help of various social media platforms such as Facebook, Twitter, etc. Hence, there is an urgent need for effective forgery detection techniques. In order to validate the credibility of these techniques, publically available and more credible standard datasets are required. A few datasets are available for image splicing, such as Columbia, Carvalho, and CASIA V1.0. However, these datasets are employed for the detection of image splicing. There are also a few custom datasets available such as Modified CASIA, AbhAS, which are also employed for the detection of image splicing forgeries. A study of existing datasets used for the detection of image splicing reveals that they are limited to only image splicing and do not contain multiple spliced images. This research work presents a Multiple Image Splicing Dataset, which consists of a total of 300 multiple spliced images. We are the pioneer in developing the first publicly available Multiple Image Splicing Dataset containing high-quality, annotated, realistic multiple spliced images. In addition, we are providing a ground truth mask for these images. This dataset will open up opportunities for researchers working in this significant area.

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Okano, Marcelo, Graziela Bizin Panza, and Marcelo Eloy Fernandes. "Categorizing Recycling Cooperatives as a Form of Social Innovation and Social Development." International Journal for Innovation Education and Research 7, no. 10 (October 31, 2019): 799–815. http://dx.doi.org/10.31686/ijier.vol7.iss10.1827.

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The process of social innovation produces the effect of reconstructing social relations systems, as well as the structure of rules and resources that reproduce such systems. The objective of this research is to verify how recycling cooperatives are adapting to social innovation and social business model. The multiple case study was chosen as research strategy, the approach will be qualitative and will be exploratory and descriptive. The epistemological positioning is positivist and the interview was the main source of data collection. Although social innovation is recent, recycling cooperatives have demonstrated that they have all of their characteristics and also make it clear that they are going through a transition from a business model of a bona fide organization to a competitive company with the characteristics of a social.

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MacRae, R. J., B. Frick, and R. C. Martin. "Economic and social impacts of organic production systems." Canadian Journal of Plant Science 87, no. 5 (December 1, 2007): 1037–44. http://dx.doi.org/10.4141/cjps07135.

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Given relatively low adoption levels to date, the potential benefits of organic farming systems are not yet very visible. However, there is growing evidence in the literature that adoption of such systems produces multiple environmental, social, and financial benefits that can solve pressing agricultural problems in Canada. Compared with their duration as conventional operations, most organic farms in North America perform better under organic management. This outcome is usually a product of lower input costs, more diversified production and marketing channels, resilience in the face of variable market conditions, higher premiums, and a better capacity to adapt to weather extremes. However, the performance of farming systems including some horticultural and animal production systems, for which our ecological understanding is limited, is still frequently inferior. The data on social impacts are less conclusive, but there is some evidence that when a community has many sustainable (including organic) producers , there are positive shifts in community economic development and social interaction. The reasons appear to be related to the need to hire more labour, the increased demand for local goods and services, and a greater commitment to participation in civic in stitutions. Key words: Organic agriculture, economic performance, social benefits

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Leslie, Heather M., Xavier Basurto, Mateja Nenadovic, Leila Sievanen, Kyle C. Cavanaugh, Juan José Cota-Nieto, Brad E. Erisman, et al. "Operationalizing the social-ecological systems framework to assess sustainability." Proceedings of the National Academy of Sciences 112, no. 19 (April 27, 2015): 5979–84. http://dx.doi.org/10.1073/pnas.1414640112.

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Environmental governance is more effective when the scales of ecological processes are well matched with the human institutions charged with managing human–environment interactions. The social-ecological systems (SESs) framework provides guidance on how to assess the social and ecological dimensions that contribute to sustainable resource use and management, but rarely if ever has been operationalized for multiple localities in a spatially explicit, quantitative manner. Here, we use the case of small-scale fisheries in Baja California Sur, Mexico, to identify distinct SES regions and test key aspects of coupled SESs theory. Regions that exhibit greater potential for social-ecological sustainability in one dimension do not necessarily exhibit it in others, highlighting the importance of integrative, coupled system analyses when implementing spatial planning and other ecosystem-based strategies.

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Al Abri, Dawood, and Shahrokh Valaee. "Diversified viral marketing: The power of sharing over multiple online social networks." Knowledge-Based Systems 193 (April 2020): 105430. http://dx.doi.org/10.1016/j.knosys.2019.105430.

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McHugh, Patricia, Christine Domegan, and Sinead Duane. "Protocols for Stakeholder Participation in Social Marketing Systems." Social Marketing Quarterly 24, no. 3 (March 5, 2018): 164–93. http://dx.doi.org/10.1177/1524500418761626.

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Stakeholder participation is the systematic mapping of potentially influential actors who can affect or be affected by intervention(s). Literature to date acknowledges the presence and interrelatedness of multiple stakeholders but is extremely limited in its approach on how to systematically identify and encourage stakeholder participation in social marketing systems. To address this limitation, this article responds to Buyucek et al.’s call for “stakeholders to be systematically identified and managed throughout the intervention design, planning and implementation.” This research proposes stakeholder participation as important to social marketing, regardless of whether it is for a single intervention or systems. We describe and demonstrate seven protocols for stakeholder participation in social marketing systems. We apply an illustrative participatory research context that follows the seven protocols of stakeholder participation and their related sets of tasks, tools, and activities and designed to identify, classify, and map stakeholders across marine environmental social marketing domains. The participatory research context illustrates that working “with” stakeholders rather than “on” their behalf can build bridges and transform societies. We then discuss the implications of embedding a stakeholder participation orientation in social marketing systems—for example, the complexities associated with multilevel stakeholder identification, partnership formation, ownership, conflict and continuity, and the value derived from interlocking co-creation and participatory processes for change.

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45

Martin, Daniel, Emma Seppala, Yotam Heineberg, Tim Rossomando, James Doty, Philip Zimbardo, Ting-Ting Shiue, Rony Berger, and YanYan Zhou. "Multiple Facets of Compassion: The Impact of Social Dominance Orientation and Economic Systems Justification." Journal of Business Ethics 129, no. 1 (March 29, 2014): 237–49. http://dx.doi.org/10.1007/s10551-014-2157-0.

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46

Bennett, Drew E., and Hannah Gosnell. "Integrating multiple perspectives on payments for ecosystem services through a social–ecological systems framework." Ecological Economics 116 (August 2015): 172–81. http://dx.doi.org/10.1016/j.ecolecon.2015.04.019.

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47

Price, R. J. "Identifying social spaces in the Sustainable Grazing Systems Program." Australian Journal of Experimental Agriculture 43, no. 8 (2003): 1041. http://dx.doi.org/10.1071/ea02238.

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In this paper I will establish that the SGS constituted not one, but many interrelated social spaces within which the science performance was undertaken. These different social spaces comprised their own unique boundaries, their own narratives, and their own contestations and negotiations between SGS actors. The implications of the claims made in this paper are pertinent to analysts of science attempting to understand the social dynamics involved in complex research programs common in today's research environment. The notion of single arenas, agoras, fields or other social spaces of contestation attempting to embrace the full complexity of science performance, as discussed in much of the sociology of science literature, is too simplistic to adequately deal with the multi-dimensional and temporal nature of the social relations involved in modern science. This paper moves away from such notions and shines light on science in practice within multiple social spaces.

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Pearson, Diane, Julian Gorman, and Richard Aspinall. "Multiple Roles for Landscape Ecology in Future Farming Systems: An Editorial Overview." Land 11, no. 2 (February 14, 2022): 288. http://dx.doi.org/10.3390/land11020288.

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Farming faces new and urgent pressures, with an array of mounting social, environmental and economic challenges, and growing public and political expectations for improved stewardship of natural resources [...]

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JANSSEN, MARCO A., and JOHN M. ANDERIES. "A multi-method approach to study robustness of social–ecological systems: the case of small-scale irrigation systems." Journal of Institutional Economics 9, no. 4 (June 24, 2013): 427–47. http://dx.doi.org/10.1017/s1744137413000180.

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Abstract:Elinor Ostrom was a leader in using multiple methods to perform institutional analysis. In this paper, we discuss how a multi-method approach she pioneered may be used to study the robustness of social–ecological systems. We synthesize lessons learned from a series of studies on small-scale irrigation systems in which we use case-study analysis, experimental methods in laboratory and field settings, and mathematical models. The accumulated insights show the importance of creating institutional arrangements that fit the human ecology within the biophysical constraints of the system. The examples of work based on multiple methods approaches presented here highlight several lessons. For example, experimental work helps us better understand the details of how the ability to maintain trust relationships, low levels of inequality, and low transaction costs of coordination are critical for success. Likewise, the integration of case-study analysis and modeling helps us better understand how systems that can leverage biophysical characteristics to help address challenges of monitoring, sanctioning, and coordination may be able to increase their chances of success.

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Shepitsen, Andriy, and Noriko Tomuro. "Search in Social Tagging Systems Using Ontological User Profiles." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (March 20, 2009): 315–18. http://dx.doi.org/10.1609/icwsm.v3i1.13978.

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In this paper we present a modified hierarchical agglomerative clustering algorithm for building tag ontologies for social tagging systems. The modified algorithm first uses a clustering algorithm called Domain Similarity Clustering By Committee (DSCBC) (Tomuro et al. 2007) to derive a set of tag committees. We apply DSCBC to the tags entered by the users of social tagging systems and derive (un-ambiguous) committees of tags. Using the committees, a tag ontology is constructed in which an ambiguous tag is separated into multiple, disambiguated tags/nodes. Then a tag profile of a given user is matched against the ontology, and an ontological profile of the user is created. Finally a preference vector is fed into the (modified) FolkRank algorithm (Hotho et al. 2006a), and the web resources ordered based on the user's preferences are returned. We run our system on the data from two social tagging systems and compare the results with other algorithms. The results showed our algorithm achieved marked improvements over other algorithms.

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