Optimal Social Influence
This self-contained book describes social influence from a computational point of view, with a focus on recent and practical applications, models, algorithms and open topics for future research. Researchers, scholars, postgraduates and developers interest
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Wen Xu Weili Wu
Optimal Social Influence 123
SpringerBriefs in Optimization Series Editors Sergiy Butenko, Texas A&M University, College Station, TX, USA Mirjam Dür, University of Trier, Trier, Germany Panos M. Pardalos, University of Florida, Gainesville, FL, USA János D. Pintér, Lehigh University, Bethlehem, PA, USA Stephen M. Robinson, University of Wisconsin-Madison, Madison, WI, USA Tamás Terlaky, Lehigh University, Bethlehem, PA, USA My T. Thai , University of Florida, Gainesville, FL, USA
SpringerBriefs in Optimization showcases algorithmic and theoretical techniques, case studies, and applications within the broad-based field of optimization. Manuscripts related to the ever-growing applications of optimization in applied mathematics, engineering, medicine, economics, and other applied sciences are encouraged.
More information about this series at http://www.springer.com/series/8918
Wen Xu • Weili Wu
Optimal Social Influence
Wen Xu Department of Mathematics and Computer Science Texas Woman’s University Denton, TX, USA
Weili Wu Department of Computer Science University of Texas, Dallas Richardson, TX, USA
ISSN 2190-8354 ISSN 2191-575X (electronic) SpringerBriefs in Optimization ISBN 978-3-030-37774-8 ISBN 978-3-030-37775-5 (eBook) https://doi.org/10.1007/978-3-030-37775-5 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 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
Social computing is an emerging research field that studies the computational aspects of social networks. Social influence specifically studies the behaviors of individuals and the influence diffusion among them in a social network, which involves interdisciplinary fie
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