Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures

Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures

Maytham Safar (Kuwait University, Kuwait) and Khaled Mahdi (Kuwait University, Kuwait)
Indexed In: PsycINFO®, SCOPUS
Release Date: December, 2011|Copyright: © 2012 |Pages: 400
DOI: 10.4018/978-1-61350-444-4
ISBN13: 9781613504444|ISBN10: 1613504446|EISBN13: 9781613504451
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Description & Coverage
Description:

Social networks have emerged as a major trend in computing and social paradigms in the past few years. The social network model helps to inform the study of community behavior, allowing qualitative and quantitative assessments of how people communicate and the rules that govern communication.

Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures provides a clear and consolidated view of current social network models. This work explores new methods for modeling, characterizing, and constructing social networks. Chapters contained in this book study critical security issues confronting social networking, the emergence of new mobile social networking devices and applications, network robustness, and how social networks impact the business aspects of organizations.

Coverage:

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

  • Business Social Networks
  • Critical Issues in Social Networking
  • Information Diffusion in Social Networks
  • Mobile Social Networks
  • Models of Social Networks
  • Online Communities
  • Robustness of Social Networks
  • Social Network Analysis of Virtual Online Communities
  • Social Network Evolution
  • Social Networks and Terrorism
Reviews & Statements

"Research on social network modeling and analysis relates to a lot of cross-disciplinary, interdisciplinary, and trans-disciplinary issues. It is a continuously and rapidly evolving field. This book is highly expected to help researchers to become aware of the very wide range of social network issues from the perspectives of both computer science and social science. It can serve as a reference work for domain researchers interested in social networking and online community behavior modeling and analysis, and a text for novice social networkers looking for an overview of the field. It can lead the interested readers to a brand new starting point of the research field."

– Dr. Qun JinWaseda University, Japan
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Editor/Author Biographies
Maytham Safar is currently an Associate Professor at the Computer Engineering Department at Kuwait University. He received his Ph.D. degree in Computer Science from the University of Southern California in 2000. He authored and editied several books, conference and journal articles. Current research interests include social networks, complex networks, and geographic information systems. He is a Senior Member of IEEE since 2008, and the First Kuwaiti to become an ACM Senior member in 2009. He is also a member of IEEE Computer Society, IADIS, @WAS, SDIWC and INSNA. He was granted over eleven research grants from research administration at Kuwait University, and Kuwait Foundation for the Advancement of Sciences (KFAS). He also served as a member of editorial board, steering committee, organizing committee, publicity committee, and reviewer for over a hundred of conferences and journals. Established the first complex networks research group (Synergy) at Kuwait University, http://synergy.ku.edu.kw, 2010.
Khaled A. Mahdi graduated from University of Toronto with BASc in Chemical Engineering in 1993. He received his PhD from Northwestern University in 2000. Currently, he is in the Chemical Engineering Department in Kuwait University. The scope of his research is statistical thermodynamics and dynamics of complex system with specific interest in social and biological networks system. In 2008, Khaled cofounded with Prof. Safar the Synergy group, a complex network research group in Kuwait University.
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Editorial Advisory Board
• Peter John Carrington, University of Waterloo, Canada
• Pedro Isaías, Universidade Aberta, Portugal
• Ismail Khalil, Johannes Kepler University, Austria
• Eric Pardede, La Trobe University, Australia
• Pit Pichappan, Al Imam University, Saudi Arabia
• Timothy Shih, National Central University, Taiwan
• David Taniar, Monash University, Australia