Overview
- Includes a number of real-world application of methodologies developed for social network analysis
- Covers application of various analytical methods to social media data
- Demonstrates applicability of static, dynamic and real time approaches
- 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
Keywords
- Application of Analytical Methods
- Applications of Complex Networks
- Biometric Template Protection
- Diffusion in Social Networks
- Dynamic Analysis of Networks
- Emotion Detection
- Multimedia Data Analysis
- Opinion Evaluation
- Real-time Network Analysis
- Reputation in Social Media
- Rumour Propagation
- Social Media Analysis
- Social Network Analysis
- Topic Evolution
- Transportation Networks
About this book
This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Applications of Social Media and Social Network Analysis
Editors: Przemysław Kazienko, Nitesh Chawla
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-319-19003-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-19002-0Published: 10 June 2015
Softcover ISBN: 978-3-319-36441-4Published: 13 October 2016
eBook ISBN: 978-3-319-19003-7Published: 28 May 2015
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XIII, 240
Number of Illustrations: 86 b/w illustrations, 37 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Applications of Graph Theory and Complex Networks, Computer Appl. in Social and Behavioral Sciences