Ebook: Computational Social Network Analysis: Trends, Tools and Research Advances

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.

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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.

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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.

Content:
Front Matter....Pages i-xii
Front Matter....Pages 1-1
An Overview of Methods for Virtual Social Networks Analysis....Pages 3-25
Discovering Sets of Key Players in Social Networks....Pages 27-47
Toward Self-Organizing Search Systems....Pages 49-80
DISSECT: Data-Intensive Socially Similar Evolving Community Tracker....Pages 81-105
Clustering of Blog Sites Using Collective Wisdom....Pages 107-134
Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming....Pages 135-154
Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features....Pages 155-187
Front Matter....Pages 190-190
Network Evolution: Theory and Mechanisms....Pages 191-240
Vmap-Layout, a Layout Algorithm for Drawing Scientograms....Pages 241-266
Nature-Inspired Dissemination of Information in P2P Networks....Pages 267-290
Analysis and Visualization of Relations in eLearning....Pages 291-318
Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust....Pages 319-347
Web Communities Defined by Web Page Content....Pages 349-370
Extended Generalized Blockmodeling for Compound Communities and External Actors....Pages 371-385
Analyzing Collaborations Through Content-Based Social Networks....Pages 387-409
Front Matter....Pages 412-412
IA-Regional-Radio – Social Network for Radio Recommendation....Pages 413-436
On the Use of Social Networks in Web Services: Application to the Discovery Stage....Pages 437-452
Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa....Pages 453-482
Back Matter....Pages 483-485

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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.

Content:
Front Matter....Pages i-xii
Front Matter....Pages 1-1
An Overview of Methods for Virtual Social Networks Analysis....Pages 3-25
Discovering Sets of Key Players in Social Networks....Pages 27-47
Toward Self-Organizing Search Systems....Pages 49-80
DISSECT: Data-Intensive Socially Similar Evolving Community Tracker....Pages 81-105
Clustering of Blog Sites Using Collective Wisdom....Pages 107-134
Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming....Pages 135-154
Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features....Pages 155-187
Front Matter....Pages 190-190
Network Evolution: Theory and Mechanisms....Pages 191-240
Vmap-Layout, a Layout Algorithm for Drawing Scientograms....Pages 241-266
Nature-Inspired Dissemination of Information in P2P Networks....Pages 267-290
Analysis and Visualization of Relations in eLearning....Pages 291-318
Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust....Pages 319-347
Web Communities Defined by Web Page Content....Pages 349-370
Extended Generalized Blockmodeling for Compound Communities and External Actors....Pages 371-385
Analyzing Collaborations Through Content-Based Social Networks....Pages 387-409
Front Matter....Pages 412-412
IA-Regional-Radio – Social Network for Radio Recommendation....Pages 413-436
On the Use of Social Networks in Web Services: Application to the Discovery Stage....Pages 437-452
Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa....Pages 453-482
Back Matter....Pages 483-485
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