Computational Social Network Analysis: Trends, Tools and Research Advances

ISBN-13: 9781848822283 / Angielski / Twarda / 2009 / 485 str.

Aboul-Ella Hassanien; Ajith Abraham; Vaclav Snasel

Opis

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members' social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Spis treści

Part I: Social Network Mining Tools An Overview of Methods for Virtual Social Networks Analysis Alessia D’Andrea, Fernando Ferri, and Patrizia Grifoni Discovering Sets of Key Players in Social Networks Daniel Ortiz-Arroyo Towards Self-organizing Search Systems Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubsky, and Pavel Zezula DISSECT: Data-Intensive Socially Similar Evolving Community Tracker Alvin Chin, and Mark Chignell Clustering of Blog Sites using Collective Wisdom Nitin Agarwal, Magdiel Galan, Huan Liu, and Shankar Subramanya Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming Nada Lavrac Miha Grcar, Blaž Fortuna, and Paola Velardi Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features Andre S. Ribeiro Part II: Social Network Evolution Network Evolution: Theory and Mechanisms Saeed Omidi, and Ali Masoudi-Nejad Vmap-Layout, a Layout Algorithm for Drawing Scientograms Arnaud Quirin, and Oscar Cordón Nature-inspired Dissemination of Information in P2P Networks Guéret Christophe Analysis and Visualization of Relations in eLearning Pavla Dráždilová, Gamila Obadi, Katerina Slaninová, Jan Martinovic, and Václav Snášel Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust Albert Hupa, Krzysztof Rzadca, Adam Wierzbicki, and Anwitaman Datta Web Communities Defined by Web Page Content Miloš Kudelka1, Václav Snášel, ZdenekHorák, Aboul Ella Hassanien, and Ajith Abraham Extended Generalized Block Modeling for Compound Communities and External Actors Radoslaw Brendel, and Henryk Krawczyk Analyzing Collaborations Through Content-Based Social Networks Alessandro Cucchiarelli, Fulvio D’Antonio and Paola Velardi Part III: Social Network Applications IA-Regional-Radio: Social Network for Radio Recommendation Grzegorz Dziczkowski, Lamine Bougueroua, and Katarzyna Wegrzyn-Wolska On the Use of Social Networks in Web Services: Application to the Discovery Stage Zakaria Maamar, Leandro Krug Wives, and Khouloud Boukadi Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa Nikolaos Mavridis, Wajahat Kazmi, and Panos Toulis

O autorze

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011). Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.