Overview
- Social Network Analysis (SNA) is a fast growing field
- Social media has become a very important communication platform with the increasing popularity of Web 2.0
- Provides a bridge between theory and applications of SNA methods
Part of the book series: Lecture Notes in Social Networks (LNSN)
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About this book
The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Reviews
“Experts in the field of social networks aim to help readers grasp the state of the art in the topic of network-based representation and analysis in this collection of papers. … the editors give readers a snapshot of recent work by presenting in each chapter a self-contained paper from different experts in the field. … recommend the book to anyone that wants to quickly get a grasp on the heterogeneity of subtopics that are studied in the social networks domain.” (Sergio Queiroz, Computing Reviews, April, 2015)
Editors and Affiliations
Bibliographic Information
Book Title: Social Networks: Analysis and Case Studies
Editors: Şule Gündüz-Öğüdücü, A. Şima Etaner-Uyar
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-7091-1797-2
Publisher: Springer Vienna
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Wien 2014
Hardcover ISBN: 978-3-7091-1796-5Published: 29 July 2014
Softcover ISBN: 978-3-7091-1990-7Published: 23 August 2016
eBook ISBN: 978-3-7091-1797-2Published: 11 July 2014
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XX, 249
Number of Illustrations: 8 b/w illustrations, 41 illustrations in colour
Topics: Computer Appl. in Social and Behavioral Sciences, Applications of Graph Theory and Complex Networks, Methodology of the Social Sciences