Editors:
- Recent research on Complex Networks
- Results of the 5th Workshop on Complex Networks Comple Net held 12-14 March 2014 in Bologna, Italy
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 549)
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Table of contents (30 papers)
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Front Matter
About this book
A network is a mathematical object consisting of a set of points that are connected to each other in some fashion by lines. It turns out this simple description corresponds to a bewildering array of systems in the real world, ranging from technological ones such as the Internet and World Wide Web, biological networks such as that of connections of the nervous systems, food webs or protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social and professional relationships such as friendship, sex partners, network of Hollywood actors, co-authorship networks and many more.
Recent years have witnessed a substantial amount of interest within the scientific community in the properties of these networks. The emergence of the internet in particular, coupled with the widespread availability of inexpensive computing resources has facilitated studies ranging from large scale empirical analysis of networks in the real world, to the development of theoretical models and tools to explore the various properties of these systems. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology and the social sciences.
This book brings together a collection of cutting-edge research in the field from a diverse array of researchers ranging from physicists to social scientists and presents them in a coherent fashion, highlighting the strong interconnections between the different areas. Topics included are social networks and social media, opinion and innovation diffusion, biological and health-related networks, language networks, as well as network theory, community detection, or growth models for Complex Networks.
Editors and Affiliations
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Department of Mathematics, University of Bologna, Bologna, Italy
Pierluigi Contucci
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Florida Institute of Technology Dept. Computer Sciences, Melbourne, FL, USA
Ronaldo Menezes
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Department of Computer Science, University of Bologna, Bologna, Italy
Andrea Omicini
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Room E-136, Northwestern University, Evanston, USA
Julia Poncela-Casasnovas
Bibliographic Information
Book Title: Complex Networks V
Book Subtitle: Proceedings of the 5th Workshop on Complex Networks CompleNet 2014
Editors: Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-05401-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05400-1Published: 07 March 2014
Softcover ISBN: 978-3-319-34983-1Published: 03 September 2016
eBook ISBN: 978-3-319-05401-8Published: 20 February 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 330
Number of Illustrations: 16 b/w illustrations, 78 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering
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