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Wednesday, April 13, 2011
Computational Social Network Analysis Book
Contents
Part I Social Network Mining Tools
1 An Overview of Methods for Virtual Social Networks
Analysis . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . 3
Alessia D’Andrea, Fernando Ferri, and Patrizia Grifoni
2 Discovering Sets of Key Players in Social Networks . . . . . . . . . . .. . . . . . . . . . . 27
Daniel Ortiz-Arroyo
3 Toward Self-Organizing Search Systems . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . 49
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubsky,
and Pavel Zezula
4 DISSECT: Data-Intensive Socially Similar Evolving
Community Tracker .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . 81
Alvin Chin and Mark Chignell
5 Clustering of Blog Sites Using Collective Wisdom . . . . . . . . . . . . .. . . . . . . . . . .107
Nitin Agarwal, Magdiel Galan, Huan Liu,
and Shankar Subramanya
6 Exploratory Analysis of the Social Network
of Researchers in Inductive Logic Programming . . . . . . . . . . . . . .. . . . . . . . . . .135
Nada Lavraˇ , Miha Grˇ ar, Blaˇ Fortuna, and Paola Velardi
c c z
7 Information Flow in Systems of Interacting Agents
as a Function of Local and Global Topological Features .. . . . .. . . . . . . . . . .155
Andre S. Ribeiro
Part II Social Network Evolution
8 Network Evolution: Theory and Mechanisms . . . . . . . . . . . . . . . . . .. . . . . . . . . . .191
Saeed Omidi and Ali Masoudi-Nejad
9 Vmap-Layout, a Layout Algorithm
for Drawing Scientograms .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .241
Arnaud Quirin and Oscar Cord ́ n o
10 Nature-Inspired Dissemination of Information in P2P
Networks. . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .267
Christophe Gu ́ ret e
11 Analysis and Visualization of Relations in eLearning . . . . . . . . .. . . . . . . . . . .291
Pavla Dr ́ zdilov ́ , Gamila Obadi, Kateˇina Slaninov ́ ,
aˇ a r a
Jan Martinoviˇ , and V ́ clav Sn ́ sel
c a aˇ
12 Interdisciplinary Matchmaking: Choosing Collaborators
by Skill, Acquaintance and Trust . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .319
Albert Hupa, Krzysztof Rzadca, Adam Wierzbicki,
and Anwitaman Datta
13 Web Communities Defined by Web Page Content . . . . . . . . . . . . .. . . . . . . . . . .349
Miloˇ Kudˇ lka, V ́ clav Sn ́ sel, Zdenˇ k Hor ́ k,
s e a aˇ e a
Aboul Ella Hassanien, and Ajith Abraham
14 Extended Generalized Blockmodeling for Compound
Communities and External Actors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .371
Radoslaw Brendel and Henryk Krawczyk
15 Analyzing Collaborations Through Content-Based Social
Networks. . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .387
Alessandro Cucchiarelli, Fulvio D’Antonio, and Paola Velardi
Part III Social Network Applications
16 IA-Regional-Radio – Social Network for Radio
Recommendation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .413
Grzegorz Dziczkowski, Lamine Bougueroua,
and Katarzyna Wegrzyn-Wolska
17 On the Use of Social Networks in Web Services:
Application to the Discovery Stage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .437
Zakaria Maamar, Leandro Krug Wives,
and Khouloud Boukadi
18 Friends with Faces: How Social Networks Can Enhance
Face Recognition and Vice Versa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .453
Nikolaos Mavridis, Wajahat Kazmi, and Panos Toulis
Index . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . .483
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Hey its really fantastic Social Network Analysis especially facebook which has become the heart of people
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