Mining and Analyzing Social Networks

Case studies are also included in this chapter to show the performance is better than traditional means. This book will focus upon Mining and Analyzing social network.

Mining and Analyzing Social Networks

Mining and Analyzing Social Networks

Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the data. In recent year, due to the growth of social communications and social networking websites, data mining becomes a very important and powerful technique to process and analyze such large amount of data. Thus, this book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that presented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book. The chapters of this book are introduced as follows: In chapter 1-Graph Model for Pattern Recognition in Text, Qin Wu et al. present a novel approach that uses a weighted directed multigraph for text pattern recognition. In the proposed methodology, a weighted directed multigraph model has been set up by using the distances between the keywords as the weights of arcs as well a keyword-frequency distance based algorithm has also been introduced. Case studies are also included in this chapter to show the performance is better than traditional means.

More Books:

Mining and Analyzing Social Networks
Language: en
Pages: 200
Authors: I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho
Categories: Computers
Type: BOOK - Published: 2010-05-29 - Publisher: Springer Science & Business Media

Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the
Web Mining and Social Networking
Language: en
Pages: 210
Authors: Guandong Xu, Yanchun Zhang, Lin Li
Categories: Computers
Type: BOOK - Published: 2010-10-20 - Publisher: Springer Science & Business Media

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate
Social Media Mining and Social Network Analysis: Emerging Research
Language: en
Pages: 347
Authors: Xu, Guandong
Categories: Computers
Type: BOOK - Published: 2013-01-31 - Publisher: IGI Global

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial
Social Network Mining, Analysis, and Research Trends: Techniques and Applications
Language: en
Pages: 501
Authors: Ting, I-Hsien
Categories: Computers
Type: BOOK - Published: 2011-12-31 - Publisher: IGI Global

"This book covers current research trends in the area of social networks analysis and mining, sharing research from experts in the social network analysis and mining communities, as well as practitioners from social science, business, and computer science"--Provided by publisher.
Mining Social Networks and Security Informatics
Language: en
Pages: 283
Authors: Tansel Özyer, Zeki Erdem, Jon Rokne, Suheil Khoury
Categories: Technology & Engineering
Type: BOOK - Published: 2013-06-01 - Publisher: Springer Science & Business Media

Crime, terrorism and security are in the forefront of current societal concerns. This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. The topics covered include crime data mining and visualization; organized crime

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