Overview
- Focuses on the interdisciplinary nature of complex-network approach including contributions that span fields from biology to computer sciences, from economics to social sciences
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Complexity (SPCOM)
Included in the following conference series:
Conference proceedings info: CompleNet 2017.
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Table of contents (22 papers)
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Front Matter
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Community Structure
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Front Matter
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Applications of Network Science
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Front Matter
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Other volumes
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Complex Networks VIII
Keywords
About this book
This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing.
The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.
Editors and Affiliations
Bibliographic Information
Book Title: Complex Networks VIII
Book Subtitle: Proceedings of the 8th Conference on Complex Networks CompleNet 2017
Editors: Bruno Gonçalves, Ronaldo Menezes, Roberta Sinatra, Vinko Zlatic
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-3-319-54241-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-54240-9Published: 23 February 2017
Softcover ISBN: 978-3-319-85350-5Published: 13 July 2018
eBook ISBN: 978-3-319-54241-6Published: 01 March 2017
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: XIV, 262
Number of Illustrations: 13 b/w illustrations, 75 illustrations in colour
Topics: Applications of Graph Theory and Complex Networks, Computational Social Sciences, Computational Intelligence, Artificial Intelligence, Complexity