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Social Network Mining, Analysis, and Research Trends: Techniques and Applications

Social Network Mining, Analysis, and Research Trends: Techniques and Applications
Author(s)/Editor(s): I-Hsien Ting (National University of Kaohsiung, Taiwan), Tzung-Pei Hong (National University of Kaohsiung, Taiwan) and Leon Shyue-Liang Wang (National University of Kaohsiung, Taiwan)
Copyright: ©2012
DOI: 10.4018/978-1-61350-513-7
ISBN13: 9781613505137
ISBN10: 1613505132
EISBN13: 9781613505144


View Social Network Mining, Analysis, and Research Trends: Techniques and Applications on the publisher's website for pricing and purchasing information.


Social network analysis dates back to the early 20th century, with initial studies focusing on small group behavior from a sociological perspective. The emergence of the Internet and subsequent increase in the use of online social networking applications has caused a shift in the approach to this field. Faced with complex, large datasets, researchers need new methods and tools for collecting, processing, and mining social network data.

Social Network Mining, Analysis and Research Trends: Techniques and Applications covers current research trends in the area of social networks analysis and mining. Containing research from experts in the social network analysis and mining communities, as well as practitioners from social science, business, and computer science, this book proposes new measures, methods, and techniques in social networks analysis and also presents applications and case studies in this changing field.

Table of Contents



The history of social networks analysis is more than hundred years old, dating from around 1900, and originating mostly in the research areas of sociology. During this period, the studies of social networks analysis focused on small groups and small social networks. However, it has become harder and harder to manually analyze larger and more complex social networks, such as the World Wide Web. Therefore, strong computer ability and information technologies have become very important tools for social networks analysis and the field itself is therefore now moving from sociology to computer science.

Data Mining has claimed it could be the most suitable technique to deal with large amounts of data and therefore the subject of social networks mining has become a very popular issue in the area of computer science. Issues related to Social Networks Analysis and Mining include social networks data collection and preprocessing, social networks extraction and construction, algorithms and methods for mining social networks, visualization and representation, applications, etc.

As such, the objective of this book is aim to cover current, state-of-the-art, research trends in the area of social networks analysis and mining. It will be a useful reference book for academics and practitioners seeking research in this emerging area. Currently, there are few good quality books addressing this subject specifically, making this publication valuable to researchers.

The book “Social Networks Analysis and Mining: Techniques and Applications” is targeted at both academic researchers and practicing professionals in the fields of information science, engineering, computer science, statistics, management, anthropology, biology, communication studies, economics, geography, organizational studies, social psychology, and sociolinguistics, and others.

This book contains nineteen original and high quality chapters authored by leading researchers of social network analysis and mining communities as well as practitioners from social science, business and computer science. The book is organized into three sections. The first section includes four innovative chapters that give a flavor of the introduction and survey about the state-of-art of current researches in social network analysis and mining. In the second section eight chapters have been included to propose new measures, methods and techniques in social networks analysis. The last section includes seven chapters to present applications and case studies in which the techniques of social networks analysis and mining have been applied. Since the chapters are written by many researchers with different backgrounds around the world, the topics and content covered in this book provides insights which are not easily accessible otherwise.

While social networks analysis and mining clearly falls in the emerging category because of recency, it is now beginning to reach popularity and more books on this topic becomes desirable. It is hoped that this book will provide a reference to researchers, practitioners, students in both social networks analysis and social networks mining communities and others, for the benefit of more creative ideas.

We are grateful to all authors for their contributions and the referees for their vision and efforts.  We would like to express our thanks to IGI Global and National University of Kaohsiung for realizing this book project.

I-Hsien Ting
Tzung-Pei Hong
Leon S.L. Wang


Reviews and Testimonials

In my opinion, the techniques for social networks analysis and mining collected in this book are valuable and readers will find they are innovative and inspiring. They are especially valuable for students, researchers and practitioners who are working on social network analysis, social network mining, and web mining.

– Jiawei HanUrbana, Illinois, USA

Author's/Editor's Biography

I-Hsien Ting (Ed.)
I-Hsien Ting is an Assistant Professor in the Department of Information Management, National University of Kaohsiung, TAIWAN from 2008. He received his Ph.D. degree in Computer Science, the University of York, UK in 2008, His research interests are focusing on Data Mining and E-commerce, particular on Web Mining, Social Network Analysis and Decision Support Systems, Web Intelligence, E-commerce, Semantic Web.He used to be a chair in the 1st, 2nd and 3rd International workshop on mining social networks for decision support (MSNDS 2009, 2010, 2011) and 1st and 2nd International workshop on web mining application in E-commerce and E-services (WMEE 2007), and a co-organizer in a special session of ICHIT 2006 conference and he also joined as a member of program committee in several conferences. Furthermore, he is now also a member of editorial advisory board of Online Information Review and as a referee in some academic Journals, such as Journal of Information Science, and in the editorial review board of Journal of Information, CyberPsychology and Behavior, Neurocomputing, Information Technology and Organizations. In additional, he is now editing two journal special issues in Journal of Online Information Review and Journal of Intelligent Information Systems. About academic paper publishing, he published more than twenty conference and journal papers in international journals, such as Journal of Web Engineering, Information Research Journal.

Tzung-Pei Hong (Ed.)
Tzung-Pei Hong received his B.S. degree in chemical engineering from National Taiwan University in 1985, and his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He was a faculty at the Department of Computer Science in Chung-Hua Polytechnic Institute from 1992 to 1994, and at the Department of Information Management in I-Shou University from 1994 to 2001. Since 2001, he has served as Director of Library and Computing Center, Dean of Academic Affair, and Vice President of National University of Kaohsiung. He is currently a distinguished professor at the Department of Electrical Engineering and the department of Computer Science and Information Engineering in National University of Kaohsiung. His current research interests include machine learning, data mining, soft computing, management information systems, WWW applications and has published more than 300 technical papers.

Leon Wang (Ed.)
Leon Shyue-Liang Wang received his Ph.D. from State University of New York at Stony Brook in 1984. From 1984 to 1987, he joined the University of New Haven as assistant professor. From 1987 to 1994, he joined New York Institute of Technology as assistant/associate professor. From 1994 to 2002, he joined I-Shou University in Taiwan and served as Director of Computing Center, Director of Library, and Chairman of Information Management Department. In 2002, he joined National University of Kaohsiung, Taiwan. In 2003, he rejoined NYIT. He is now professor and chairman in National University of Kaohsiung, Taiwan. He has published over 150 papers in the areas of data mining and soft computing, and served as a PC member of several national and international conferences. He is a member of the board of Chinese American Academic and Professional Society, USA.


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