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Contents
1 EgoClustering: Overlapping Community Detection via
Merged Friendship-Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Bradley S. Rees and Keith B. Gallagher
2 Optimization Techniques for Multiple Centrality Computations . . . . . 21
Christian von derWeth, Klemens Böhm, and Christian Hütter
3 Application of Social Network Metrics to a Trust-Aware
Collaborative Model for Generating Personalized User
Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Iraklis Varlamis, Magdalini Eirinaki, and Malamati Louta
4 TweCoM: Topic and ContextMining from Twitter. . . . . . . . . . . . . . . . . . . . . 75
Luca Cagliero and Alessandro Fiori
5 Pixel-OrientedNetwork Visualization: Static Visualization
of Change in Social Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
Klaus Stein, René Wegener, and Christoph Schlieder
6 Building Expert Recommenders from Email-Based
Personal Social Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129
Verónica Rivera-Pelayo, Simone Braun, Uwe V. Riss, Hans
FriedrichWitschel, and Bo Hu
7 A Local Structure-Based Method for Nodes Clustering:
Application to a Large Mobile Phone Social Network. . . . . . . . . . . . . . . . . . 157
Alina Stoica, Zbigniew Smoreda, and Christophe Prieur
8 Virus PropagationModeling in Facebook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185
Wei Fan and Kai-Hau Yeung
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9 Comparing and Visualizing the Social Spreading of
Products on a Large Social Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
Pål Roe Sundsøy, Johannes Bjelland, Geoffrey Canright,
Kenth Engø-Monsen, and Rich Ling
10 Engagingness and Responsiveness Behavior Models on
the Enron Email Network and Its Application to Email
Reply Order Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227
Byung-Won On, Ee-Peng Lim, Jing Jiang, and Loo-Nin Teow
11 Efficient Extraction of High-Betweenness Vertices from
Heterogeneous Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255
Wen Haw Chong,Wei Shan Belinda Toh, and Loo Nin Teow
12 Cross-Domain Analysis of the Blogosphere for Trend
Prediction .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
Patrick Siehndel, Fabian Abel, Ernesto Diaz-Aviles, Nicola
Henze, and Daniel Krause
13 Informative Value of Individual and Relational Data
Compared Through Business-Oriented Community Detection . . . . . . . 303
Vincent Labatut and Jean-Michel Balasque
14 Clustering Social Networks Using Distance-Preserving
Subgraphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
Ronald Nussbaum, Abdol-Hossein Esfahanian, and
Pang-Ning Tan
15 Extraction of Spatio-Temporal Data for Social Networks . . . . . . . . . . . . . 351
Judith Gelernter, Dong Cao, and Kathleen M. Carley
16 Detecting Communities in Massive Networks Efficiently
with Flexible Resolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373
Qi Ye, Bin Wu, and Bai Wang
17 Detecting Emergent Behavior in a Social Network of Agents . . . . . . . . . 393
Mohammad Moshirpour, Shimaa M. El-Sherif, Behrouz H.
Far, and Reda Alhajj
18 Factors Enabling Information Propagation in a Social
Network Site. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411
Matteo Magnani, Danilo Montesi, and Luca Rossi
19 Learning from the Past: An Analysis of Person Name
Corrections in the DBLP Collection and Social Network
Properties of Affected Entities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427
Florian Reitz and Oliver Hoffmann
20 Towards Leader Based Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455
Ilham Esslimani, Armelle Brun, and Anne Boyer
Contents xvii
21 Enhancing Child Safety in MMOGs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471
Lyta Penna, Andrew Clark, and George Mohay
22 An Adaptive Framework for Discovery and Mining of
User Profiles from SocialWeb-Based Interest Communities . . . . . . . . . . 497
Nima Dokoohaki and Mihhail Matskin
23 DB2SNA: An All-in-One Tool for Extraction
and Aggregation of Underlying Social Networks from
Relational Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521
Rania Soussi, Etienne Cuvelier, Marie-Aude Aufaure, Amine
Louati, and Yves Lechevallier
24 Extending Social Network Analysis with Discourse
Analysis: Combining Relational with Interpretive Data . . . . . . . . . . . . . . . 547
Christine Moser, Peter Groenewegen, and Marleen Huysman
25 How Latent Class Models Matter to Social Network
Analysis and Mining: Exploring the Emergence of Community . . . . . . 563
Jaime R.S. Fonseca and Romana Xerez
26 Integrating Online Social Network Analysis
in PersonalizedWeb Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 589
Omair Shafiq, Tamer N. Jarada, Panagiotis Karampelas, Reda
Alhajj, and Jon G. Rokne
27 Evolution of Online Forum Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615
Mikolaj Morzy
28 Movie Rating Prediction with Matrix Factorization Algorithm. . . . . . . 631
Ozan B. Fikir, ˙Ilker O. Yaz, and Tansel Özyer