Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches

Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches

Ben Daniel
Indexed In: SCOPUS
Release Date: May, 2009|Copyright: © 2009 |Pages: 284
DOI: 10.4018/978-1-60566-663-1
ISBN13: 9781605666631|ISBN10: 1605666637|EISBN13: 9781605666648
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Description & Coverage
Description:

Throughout history, the permeation of new technologies have assisted communities in their aim to collectively work together in addressing shared problems for the attainment of specific goals and outcomes.

Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches broadly examines what constitutes social capital in geographical communities and offers an in-depth description of its potential in virtual communities. Providing the latest findings for advanced undergraduate and graduate students as well as researchers and academicians involved with virtual communities and social capital, this book draws upon insights from interdisciplinary fields such as artificial intelligence, human computer interaction, educational technology, and economics and sociology.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Approaches for measuring social capital
  • Bayesian belief network
  • Computational model of social capital
  • Construction of Bayesian models
  • Model Validation
  • Sensitivity analysis
  • Social capital in virtual communities
  • Social capital use-case application areas
  • Social computing and social software
  • Social computing and virtual communities
  • Theory and application of social capital
  • Trust and social capital
Reviews & Statements

This book represents a landmark consideration of the origin, diverse meanings, types, dimensions, components, measurements methods, sources, and positive and negative consequences of social capital, with a particular emphasis on how to model social capital within virtual communities.

– Ben K. Daniel, University of Saskatchewan, Canada
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Editor/Author Biographies
Ben K. Daniel is a researcher and an interim manager for Research and Innovation with the Office of the Associate Vice President Research-Health (University of Saskatchewan)/Vice President of Research and Innovation at Saskatoon Health Region, (Saskatoon, Canada). Dr. Daniel also lectures on statistics, research methods and communication technologies at the University of Saskatchewan—Canada. Dr. Daniel is an eclectic scholar with a vast array of training and experiences drawn from many disciplines, some of which include graduate training in computer science, educational and training systems design, philosophy, statistics and communications technologies.

Dr. Daniel has extensively published over fifty peer-reviewed conference papers, six international and national journal articles and 10 book chapters on variety of topics in advanced learning technologies. He reviews for half a dozen international conferences and journals on advanced learning technologies and knowledge management. His research has won two major national and international awards and was nominated for a couple of international awards. In the past, he held numerous undergraduate and graduate fellowships, awards and was a Dutch NUFFIC University Fellow at the University of Twente, Enshede, the Netherlands. Dr. Daniel has recently developed curiosity in e-health systems. He is interested in exploring new techniques and opportunities for extending virtual communities and social networking systems to the domain of e-health.

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