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A Bayesian Computational Model of Social Capital in Virtual Communities

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Springer London, Dordrecht Amsterdam

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The theory of social capital (SC) is frequently discussed in the social sciences and the humanities. There is a plethora of research studies, which seek to define and empirically test the idea of SC in a number of ways. This growing body of research has only supported the significance of (SC) in physical communities. While many attempts have been made to examine different forms of social capital in physical communities, its application to other types of communities remains open to research. Recent interest in computer science and information systems in studying virtual communities (VCs) and the value these communities provide to information exchange and knowledge construction makes examination of SC in these communities relevant. We begin our understanding of SC in VCs by mapping out different variables that constitute SC based on qualitative experts’ knowledge of SC. We then develop an initial computational model of SC, and generate conditional probability tables (CPTs) that can be refined using real world case scenarios developed by experts in virtual communities. The Bayesian model seems to represent the situations mentioned in the paper adequately. This model provides a useful tool for understanding of SC in VCs.

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Kei Daniel, B.; Zapata-Rivera, J.-D.; McCalla, G. (2003): A Bayesian Computational Model of Social Capital in Virtual Communities. Communities and Technologies: Proceedings of the First International Conference on Communities and Technologies 2003. DOI: 10.1007/978-94-017-0115-0_15. Springer London, Dordrecht Amsterdam. ISBN: 978-94-017-0115-0. pp. 287-305. Full Papers

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Number of citations to item: 8

  • Luis Chamba-Eras, Ana Arruarte, Jon A. Elorriaga (2016): Bayesian Networks to predict reputation in Virtual Learning Communities, In: 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), doi:10.1109/la-cci.2016.7885721
  • S. Rafaeli, G. Ravid, V. Soroka (2004): De-lurking in virtual communities: a social communication network approach to measuring the effects of social and cultural capital, In: 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the, doi:10.1109/hicss.2004.1265478
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  • Ben K. Daniel, Gordon I. McCalla, Richard A. Schwier (2000): Bayesian Belief Network Approach for Analysis of Intercultural Collaboration in Virtual Communities Using Social Capital Theory, In: Lecture Notes in Computer Science, doi:10.1007/978-3-540-74000-1_22
  • Tomislav Stipancic, Yoshimasa Ohmoto, Sara Akaoka Badssi, Toyoaki Nishida (2017): Computation mechanism for situated sentient robot, In: 2017 Computing Conference, doi:10.1109/sai.2017.8252082
  • Patricio E. Petruzzi, Didac Busquets, Jeremy Pitt (2015): A Generic Social Capital Framework for Optimising Self-Organised Collective Action, In: 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, doi:10.1109/saso.2015.10
  • JoĂŁo W. Cangussu, Syed W. Haider, Kendra Cooper, Michael Baron (2011): On the selection of software defect estimation techniques, In: Software Testing, Verification and Reliability 2(21), doi:10.1002/stvr.419
  • Ben K. Daniel (2000): A Computational Model of Social Capital in Virtual Communities, In: Handbook of Research on Methods and Techniques for Studying Virtual Communities, doi:10.4018/978-1-60960-040-2.ch018
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