Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena (2 Volumes)

Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena (2 Volumes)

Ben Kei Daniel (University of Saskatchewan, Canada)
Indexed In: SCOPUS View 1 More Indices
Release Date: November, 2010|Copyright: © 2011 |Pages: 984
ISBN13: 9781609600402|ISBN10: 1609600401|EISBN13: 9781609600419|DOI: 10.4018/978-1-60960-040-2

Description

Over the last decade, virtual communities have evolved from massive experimental, educational, technological, business, and social environments to experiential and practical environments, supplementing their geographical counterparts.

The Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena satisfies the need for methodological consideration and tools for data collection, analysis and presentation in virtual communities. Chapters cover studies on various types of virtual communities, making this reference a comprehensive source of research for those in the social sciences and humanities. Additionally, the book supports executives and corporate leaders concerned with the management of expertise, social capital, competence knowledge, and information and organizational development in different types of virtual communities and environments.

Topics Covered

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

  • Blended communities
  • Conversation Analysis
  • Distributed communities of practice
  • Immersive virtual ethnography
  • Mapping electronic conversations
  • Methods for evaluating online discussions
  • Modeling social interactions in online communities
  • Quantitative content analysis of online interactions
  • Semantic social network analysis
  • Virtual geodemographics

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Ben Kei Daniel is a Research and Innovation Analyst, with the Joint Office of Health Research and Innovation at the University of Saskatchewan and Saskatoon Health Region—Saskatchewan, Canada. He is also a Lecturer, with the Department of Language and Linguistics, College of Arts and Sciences—University of Saskatchewan, where he lectures on Research Methods and Applied Statistics. Dr. Daniel obtained his joint PhD in Computer Science and Educational and Communication Technologies at the University of Saskatchewan. He has published over 50 peer-reviewed conference papers, over 8 international and national journal articles, and more than 11 book chapters all in various areas of Advanced Learning Technologies and Artificial Intelligence in Education. Dr. Daniel is the author of the book: Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches. His current research focus on e-health and virtual communities and the process and nature of learning in virtual communities.

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