Overview
- Using machine learning techniques to analyze social networks
- A multidisciplinary source, which will draw the interest of researchers and students in sociology, computer science and statistics
- The research outcome will be of value to study different problems of social impact including market analysis, terrorist groups, etc.
- Includes supplementary material: sn.pub/extras
Part of the book series: Annals of Information Systems (AOIS, volume 12)
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Table of contents (11 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Social Network Data
Editors: Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, Hsinchun Chen
Series Title: Annals of Information Systems
DOI: https://doi.org/10.1007/978-1-4419-6287-4
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Softcover ISBN: 978-1-4419-6286-7Published: 09 July 2010
eBook ISBN: 978-1-4419-6287-4Published: 10 June 2010
Series ISSN: 1934-3221
Series E-ISSN: 1934-3213
Edition Number: 1
Number of Pages: X, 216
Number of Illustrations: 68 b/w illustrations
Topics: Business Mathematics, IT in Business, Pattern Recognition, Computer Appl. in Social and Behavioral Sciences