Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches

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ISBN: 9781605666631 | 1605666637
Cover: Hardcover
Copyright: 5/31/2009

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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.

Foreword	p. ix
Preface	p. xiii
Acknowledgment	p. xxi
Theory and Application of Social Capital
The Roots of Communities and Social Capital	p. 1
Introduction	p. 1
Early Work on the Concept of Community	p. 2
Modern Meaning of a Community	p. 4
Social Capital and Community Connectivity	p. 6
The Origin of the Notion of Social Capital	p. 7
Social Capital in Virtual Communities	p. 10
Bayesian Belief Network and Modelling of Social Capital	p. 11
Conclusion	p. 13
References	p. 14
Endnote	p. 17
Conceptual and Theoretical Foundations of Social Capital	p. 18
Introduction	p. 18
The Classical Economic Capital	p. 19
Cultural Capital	p. 21
Human Capital	p. 22
Natural Capital	p. 23
Social Capital and Other Forms of Capital	p. 24
Conceptualising Social Capital	p. 25
Dimensions of Social Capital	p. 26
Types of Social Capital	p. 30
Conclusion	p. 39
References	p. 40
Social Capital Use-Case Application Areas	p. 43
Introduction	p. 43
Modern Application of Social Capital	p. 44
Conclusion	p. 53
References	p. 55
Endnotes	p. 57
Approaches for Measuring Social Capital	p. 58
Introduction	p. 58
Measurement Social Capital Conceptual	p. 59
Current Approaches for Measuring Social Capital	p. 59
Social Network Analysis	p. 63
Content Analysis	p. 67
Sources of Social Capital	p. 68
Indicators of Social Capital	p. 69
Conclusion	p. 70
References	p. 72
Endnote	p. 74
Trust and Social Capital	p. 75
Introduction	p. 75
The Nature of Trust	p. 75
Trust and Awareness	p. 81
Sources of Trust	p. 83
Measuring Trust	p. 84
Measuring Social Capital in Terms of Trust	p. 85
Main Challenges of Building Trust in Virtual Communities	p. 86
Conclusion	p. 87
References	p. 89
Social Computing and Virtual Communities
Social Computing and Social Software	p. 93
Introduction	p. 93
Historical Development of the Network Communication Media	p. 94
The Intermission of the World Wide Web	p. 95
The First Generation of the Web	p. 98
The Second Generation of the Web	p. 99
The Third Generation of the Web	p. 107
The Fourth Generation of the Web	p. 108
Social Computing and Social Software	p. 110
Conclusion	p. 118
References	p. 120
Virtual Communities	p. 122
Introduction	p. 122
Historical Overview of Virtual Communities	p. 123
Types of Virtual Communities	p. 129
Common Use-Cases of Virtual Communities	p. 137
Conclusion	p. 150
References	p. 151
Endnotes	p. 155
Knowledge Sharing in Virtual Communities	p. 156
Introduction	p. 156
The Nature of Knowledge	p. 156
Knowledge Networks and Basic Related Concepts	p. 159
Knowledge Sharing in Virtual Comunities	p. 161
Social Capital and Knowledge Sharing	p. 164
Conclusion	p. 165
References	p. 166
Computational Modelling
Foundations of Social Modelling	p. 169
Introduction	p. 169
Foundation of Computational Modelling	p. 170
The User Modelling Approach	p. 173
Two Main User Modelling Research Perspectives	p. 174
Modelling Scenarios	p. 179
Conclusion	p. 180
References	p. 181
Overview of Bayesian Belief Network	p. 182
Introduction	p. 182
Bayesian Statistic and Probablity Theory	p. 184
Graphical Models	p. 186
What is a Bayesian Belief Network?	p. 186
Application of Bayesian Belief Networks	p. 190
Conclusion	p. 192
References	p. 193
Construction of Bayesian Models	p. 195
Introduction	p. 195
Simplifying the Construction of Bayesian Models	p. 196
Construction Phases of a Bayesian Belief Network	p. 198
Conclusion	p. 204
References	p. 205
Computational Model Of Social Capital
A Computational Model of Social Capital	p. 208
Introduction	p. 208
Fundamental Components of Social Capital	p. 208
Challenges	p. 222
Conclusion	p. 224
References	p. 224
Sensitivity Analysis	p. 226
Introduction	p. 226
Overview of Sensitivity Analysis	p. 226
Sensitivity Analysis of Social Capital	p. 228
Conclusion	p. 229
References	p. 230
Model Validation	p. 231
Introduction	p. 231
Procedures for Validating Model	p. 231
Validating a Bayesian Model	p. 232
Validating the Model of Social Capital	p. 233
Trust and Social Capital	p. 234
Awareness and Social Capital	p. 235
Engagement	p. 236
Social Networking and Shared Identity	p. 237
Shared Understanding	p. 238
Social Protocols	p. 238
Conclusion	p. 239
References	p. 240
Conclusion, Book Limitations and Future Directions	p. 242
Introduction	p. 242
Communities and Social Capital	p. 243
Social Capital in Virtual Communities	p. 244
Utility of Bayersian Modelling in Social Systems	p. 246
Conclusion and Future Directions	p. 247
Book Limitations	p. 249
Final Thoughts	p. 250
Appendix	p. 252
About the Author	p. 255
Index	p. 256
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Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches

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