Advances in Network Analysis and its Applications

As well as highlighting potentially useful applications for network analysis, this volume identifies new targets for mathematical research that promise to provide insights into network systems theory as well as facilitating the cross-fertilization of idea

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For further volumes: http://www.springer.com/series/4650

Evangelos Kranakis Editor

Advances in Network Analysis and its Applications With 95 Figures and 51 Tables

123

Editor Evangelos Kranakis School of Computer Science Carleton University Ottawa, Ontario Canada

ISSN 1612-3956 ISBN 978-3-642-30903-8 ISBN 978-3-642-30904-5 (eBook) DOI 10.1007/978-3-642-30904-5 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012950143 Mathematics Subject Classification (2010): 68M10, 68M11, 94A60, 94A62, 91D30 © Springer-Verlag Berlin Heidelberg 2013 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Preface

Networks composed of interacting, communicating, and co-operating processes provide powerful models for understanding the behavior of complex systems. The explosive development of the Internet in the last decade has made them pervasive in all aspects of our lives. It has also made possible their emergence as new models for applying computational techniques for solving and providing understanding for old problems with new insights. As such they often provide the framework for new methodologies that lead to better decision making in many fields such as transportation, communication, health, finance, and social engineering. Solving the many em