Editors:
- Combines analysis methods with visualization techniques for online social media
- Offers a wide variety of social networks research topics
- Covers multi-agent systems and genetic algorithms and their application to online social media
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.
Editors and Affiliations
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Department of Computer Science, University of Calgary, Calgary, Canada
Jalal Kawash
Bibliographic Information
Book Title: Online Social Media Analysis and Visualization
Editors: Jalal Kawash
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-13590-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-13589-2Published: 26 January 2015
Softcover ISBN: 978-3-319-38539-6Published: 06 October 2016
eBook ISBN: 978-3-319-13590-8Published: 14 January 2015
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XVI, 233
Number of Illustrations: 18 b/w illustrations, 76 illustrations in colour
Topics: Computer Appl. in Social and Behavioral Sciences, Statistics for Social Sciences, Humanities, Law, Applications of Graph Theory and Complex Networks, Data Mining and Knowledge Discovery