Editors:
- Provide a coherent collection of research results on recommendation and search in social networks
- Offers strategies for maximizing influence in networks
- Gives methods on improving computer-mediated communication
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.
Keywords
Editors and Affiliations
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Department of Computer Engineering, Bilkent University, Ankara, Turkey
Özgür Ulusoy, Erol Arkun
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Statistics and Computer Information Systems, Baruch College, CUNY, New York, USA
Abdullah Uz Tansel
Bibliographic Information
Book Title: Recommendation and Search in Social Networks
Editors: Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-14379-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14378-1Published: 19 March 2015
Softcover ISBN: 978-3-319-36480-3Published: 29 October 2016
eBook ISBN: 978-3-319-14379-8Published: 12 February 2015
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XI, 289
Number of Illustrations: 44 b/w illustrations, 67 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Media Sociology, Applications of Graph Theory and Complex Networks, Complexity
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