Data Mining for Social Network Data
Social Network Data Mining: Research Questions, Techniques, and Applications Nasrullah Memon, Jennifer Xu, David L. Hicks and Hsinchun Chen Automatic expansion of a social network using sentiment analysis Hristo Tanev, Bruno Pouliquen, Vanni Zavarella and
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Series Editors Ramesh Sharda Oklahoma State University Stillwater, OK, USA Stefan Voß University of Hamburg Hamburg, Germany
For further volumes: http://www.springer.com/series/7573
Nasrullah Memon · Jennifer Jie Xu · David L. Hicks · Hsinchun Chen Editors
Data Mining for Social Network Data
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Editors Nasrullah Memon University of Southern Denmark Maersk Mc-Kinney Moller Institute Campusvej 55 5230 Odense M Denmark [email protected]
David L. Hicks Department of Computer Science and Engineering Aalborg University Esbjerg Niels Bohrs Vej 8 6700 Esbjerg Denmark [email protected]
Jennifer Jie Xu Department of Computer Information Systems Bentley University Forest St. 175 02452 Waltham Massachusetts USA [email protected] Hsinchun Chen University of Arizona Eller College of Management E. Helen St. 1130 85721 Tucson Arizona 430Z McClelland Hall USA [email protected]
ISSN 1934-3221 e-ISSN 1934-3213 ISBN 978-1-4419-6286-7 e-ISBN 978-1-4419-6287-4 DOI 10.1007/978-1-4419-6287-4 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010928244 © Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Contents
1 Social Network Data Mining: Research Questions, Techniques, and Applications . . . . . . . . . . . . . . . . . . . . . Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, and Hsinchun Chen 2 Automatic Expansion of a Social Network Using Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . Hristo Tanev, Bruno Pouliquen, Vanni Zavarella, and Ralf Steinberger 3 Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis . . . . . . . . . James A. Danowski and Noah Cepela
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9
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4 A Social Network-Based Recommender System (SNRS) . . . . . . Jianming He and Wesley W. Chu
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5 Network Analysis of US Air Transportation Network . . . . . . . . Guangying Hua, Yingjie Sun, and Dominique Haughton
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6 Identifying High-Status Nodes in Knowledge Networks . . . . . . . Siddharth Kaza and Hsinchun Chen
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7 Modularity for Bipartite Networks . . . . . . . . . . . . . . . . . . Tsuyoshi Murata
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8 ONDOCS: Ordering Nodes to Detect Overlapping Community Structure . . . . . . . . . . . . . . . . . . . . . . . . . Jiyang Chen, Osmar R. Zaïan
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