Network Science An Aerial View
This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science. The authoritative contributions on statistical network analysis, mathematical netw
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Network Science An Aerial View
Network Science
Francesca Biagini · Göran Kauermann · Thilo Meyer-Brandis Editors
Network Science An Aerial View
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Editors Francesca Biagini Department of Mathematics LMU Munich, Munich, Germany
Göran Kauermann Department of Statistics LMU Munich, Munich, Germany
Thilo Meyer-Brandis Department of Mathematics LMU Munich, Munich, Germany
ISBN 978-3-030-26813-8 ISBN 978-3-030-26814-5 (eBook) https://doi.org/10.1007/978-3-030-26814-5 © Springer Nature Switzerland AG 2019 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The book was initiated through a joint research focus on quantitative network science funded by the Center for Advanced Studies at the Ludwig-MaximilansUniversity Munich (LMU) from 2015 to 2017. A group of researchers from different scientific fields launched the quantitative network science center at LMU which included different scientific disciplines that dealt with network data in the widest sense. A final workshop in October 2016 covered the selected fields of the center with its multiple perspectives on network science. Some of these fields are mirrored in this book. First, networks can be treated as a mathematical object which can be analyzed from different perspectives. Secondly, networks can be considered as data which need to be analyzed. This requires visualization tools as well as methods and models which allow to draw conclusions from the network data. Finally, a network itself can be considered as a model where the entities interact with each other based on the model structure. How is information transmitted through the network? How does the network behave if shocks occur or if certain nodes fail? Such questions relat
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