Overview
- Includes statistical methods for data mining and social network analysis
- Contains methods on network measures, multilevel networks and clustering on networks
- Offers interesting applications to a wide set of fields
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (13 chapters)
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Front Matter
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Methods
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Front Matter
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Applications
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Front Matter
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Back Matter
Keywords
About this book
The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.
Editors and Affiliations
Bibliographic Information
Book Title: Challenges in Social Network Research
Book Subtitle: Methods and Applications
Editors: Giancarlo Ragozini, Maria Prosperina Vitale
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-030-31463-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-31462-0Published: 07 December 2019
Softcover ISBN: 978-3-030-31465-1Published: 14 August 2020
eBook ISBN: 978-3-030-31463-7Published: 06 December 2019
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XIII, 239
Number of Illustrations: 43 b/w illustrations, 33 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computational Social Sciences, Artificial Intelligence, Database Management, Applications of Graph Theory and Complex Networks