Complex Networks VII Proceedings of the 7th Workshop on Complex Netw
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 just a few) can be properly described and understood. This b
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Hocine Cherifi Bruno Gonçalves Ronaldo Menezes Roberta Sinatra Editors
Complex Networks VII Proceedings of the 7th Workshop on Complex Networks CompleNet 2016
Studies in Computational Intelligence Volume 644
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the worldwide distribution, which enable both wide and rapid dissemination of research output.
More information about this series at http://www.springer.com/series/7092
Hocine Cherifi Bruno Gonçalves Ronaldo Menezes Roberta Sinatra •
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Editors
Complex Networks VII Proceedings of the 7th Workshop on Complex Networks CompleNet 2016
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Editors Hocine Cherifi LE2I, UFR Sciences et Techniques Université de Bourgogne Dijon France
Ronaldo Menezes BioComplex Laboratory, Computer Sciences Florida Institute of Technology Melbourne, FL USA
Bruno Gonçalves Center for Data Science New York University New York, NY USA
Roberta Sinatra Physics Department Northeastern University Boston, MA USA
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-319-30568-4 ISBN 978-3-319-30569-1 (eBook) DOI 10.1007/978-3-319-30569-1 Library of Congress Control Number: 2016932873 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither th
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