Social Network Analysis - Community Detection and Evolution

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic network

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Rokia Missaoui Idrissa Sarr Editors

Social Network Analysis – Community Detection and Evolution

Lecture Notes in Social Networks Series editors Reda Alhajj, University of Calgary, Calgary, AB, Canada Uwe Glässer, Simon Fraser University, Burnaby, BC, Canada Advisory Board Charu Aggarwal, IBM T.J. Watson Research Center, Hawthorne, NY, USA Patricia L. Brantingham, Simon Fraser University, Burnaby, BC, Canada Thilo Gross, University of Bristol, UK Jiawei Han, University of Illinois at Urbana-Champaign, IL, USA Huan Liu, Arizona State University, Tempe, AZ, USA Raúl Manásevich, University of Chile, Santiago, Chile Anthony J. Masys, Centre for Security Science, Ottawa, ON, Canada Carlo Morselli, University of Montreal, QC, Canada Rafael Wittek, University of Groningen, The Netherlands Daniel Zeng, The University of Arizona, Tucson, AZ, USA

More information about this series at http://www.springer.com/series/8768

Rokia Missaoui Idrissa Sarr •

Editors

Social Network Analysis – Community Detection and Evolution

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Editors Rokia Missaoui Département d’Informatique et Ingéniérie Université du Québec en Outaouais Gatineau, QC Canada

Idrissa Sarr Département de Mathématiques et Informatique Université Cheikh Anta Diop Dakar Senegal

ISSN 2190-5428 ISSN 2190-5436 (electronic) Lecture Notes in Social Networks ISBN 978-3-319-12187-1 ISBN 978-3-319-12188-8 (eBook) DOI 10.1007/978-3-319-12188-8 Library of Congress Control Number: 2014956200 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2014 Chapter 2 was created within the capacity of an US governmental employment. US copyright protection does not apply. 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 the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)

This book on social network analysis is dedicated to our respective families who have been our constant source of inspiration. They instil