Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches

Author:   Ben Kei Daniel
Publisher:   IGI Global
ISBN:  

9781605666631


Pages:   301
Publication Date:   31 May 2009
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches


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Full Product Details

Author:   Ben Kei Daniel
Publisher:   IGI Global
Imprint:   Information Science Reference
Dimensions:   Width: 17.80cm , Height: 1.70cm , Length: 25.40cm
Weight:   0.829kg
ISBN:  

9781605666631


ISBN 10:   1605666637
Pages:   301
Publication Date:   31 May 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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

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Author Information

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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