Closure Coefficient in Complex Directed Networks
The 3-clique formation, a natural phenomenon in real-world networks, is typically measured by the local clustering coefficient, where the focal node serves as the centre-node in an open triad. The local closure coefficient provides a novel perspective, wi
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Rosa M. Benito · Chantal Cherifi · Hocine Cherifi · Esteban Moro · Luis Mateus Rocha · Marta Sales-Pardo Editors
Complex Networks & Their Applications IX Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
Studies in Computational Intelligence Volume 943
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
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 world-wide distribution, which enable both wide and rapid dissemination of research output. Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.
More information about this series at http://www.springer.com/series/7092
Rosa M. Benito Chantal Cherifi Hocine Cherifi Esteban Moro Luis Mateus Rocha Marta Sales-Pardo •
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Complex Networks & Their Applications IX Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
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Editors Rosa M. Benito Grupo de Sistemas Complejos Universidad Politécnica de Madrid Madrid, Madrid, Spain Hocine Cherifi LIB, UFR Sciences et Techniques Université de Bourgogne Dijon, France Luis Mateus Rocha Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering Indiana University Bloomington, IN, USA
Chantal Cherifi IUT Lumière University of Lyon Bron Cedex, France Esteban Moro Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas Universidad Carlos III de Madrid Leganés, Madrid, Spain Marta Sales-Pardo Department of Chemical Engineering Universitat Rovira i Virgili Tarragona, Tarragona, Spain
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-65346-0 ISBN 978-3-030-65347-7 (eBook) https://doi.org/10.1007/978-3-030-65347-7 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, br
