Data Mining for Social Network Data [Memon, Xu, Hicks & Chen 2010-07-09].pdf
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Annals of Information Systems
Volume 12
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
123
Editors
Nasrullah Memon
University of Southern Denmark
Maersk Mc-Kinney Moller Institute
Campusvej 55
5230 Odense M
Denmark
memon@mmmi.sdu.dk
Jennifer Jie Xu
Department of Computer Information
Systems
Bentley University
Forest St. 175
02452 Waltham Massachusetts
USA
jxu@bentley.edu
Hsinchun Chen
University of Arizona
Eller College of Management
E. Helen St. 1130
85721 Tucson Arizona
430Z McClelland Hall
USA
hchen@eller.arizona.edu
David L. Hicks
Department of Computer Science
and Engineering
Aalborg University Esbjerg
Niels Bohrs Vej 8
6700 Esbjerg
Denmark
hicks@cs.aaue.dk
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
4 A Social Network-Based Recommender System (SNRS)
. . . . . .
Jianming He and Wesley W. Chu
5 Network Analysis of US Air Transportation Network
. . . . . . . .
Guangying Hua, Yingjie Sun, and Dominique Haughton
6 Identifying High-Status Nodes in Knowledge Networks
. . . . . . .
Siddharth Kaza and Hsinchun Chen
7 Modularity for Bipartite Networks
. . . . . . . . . . . . . . . . . .
Tsuyoshi Murata
8 ONDOCS: Ordering Nodes to Detect Overlapping
Community Structure
. . . . . . . . . . . . . . . . . . . . . . . . .
Jiyang Chen, Osmar R. Zaïane, Jörg Sander, and Randy Goebel
9 Framework for Fast Identification of Community
Structures in Large-Scale Social Networks
. . . . . . . . . . . . . .
Yutaka I. Leon-Suematsu and Kikuo Yuta
10
Geographically Organized Small Communities
and the Hardness of Clustering Social Networks
. . . . . . . . . . .
Miklós Kurucz and András A. Benczúr
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