Ebook: Computational Social Networks: Mining and Visualization

This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

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The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems.

Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs).

Topics and features:

• Includes a thorough introduction to this exciting and blossoming field
• Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks
• Discusses the design and use of a wide range of computational tools and software for social network analysis
• Describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs
• Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.

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The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems.

Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs).

Topics and features:

• Includes a thorough introduction to this exciting and blossoming field
• Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks
• Discusses the design and use of a wide range of computational tools and software for social network analysis
• Describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs
• Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.

Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Social Networks Analysis: Tools, Measures and Visualization....Pages 3-23
Performance Evaluation of Social Network Using Data Mining Techniques....Pages 25-49
Bio-inspired Clustering and Data Diffusion in Machine Social Networks....Pages 51-79
Mining Geo-Referenced Community-Contributed Multimedia Data....Pages 81-102
Correlation Mining for Web News Information Retrieval....Pages 103-128
Mining Micro-blogs: Opportunities and Challenges....Pages 129-159
Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Network....Pages 161-181
Reliable Online Social Network Data Collection....Pages 183-210
Knowledge Mining from the Twitter Social Network: The Case of Barack Obama....Pages 211-229
Front Matter....Pages 231-231
Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach....Pages 233-267
Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments....Pages 269-290
Extraction and Analysis of Facebook Friendship Relations....Pages 291-324
Analysis of Human-Computer Interactions and Online Social Networking: A Framework....Pages 325-343
Implementation of Social Network Analysis for Web Cache Content Mining Visualization....Pages 345-376
Back Matter....Pages 377-385

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The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems.

Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between users. However, visualization techniques can aid the understanding of how these networks function. This comprehensive text/reference is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs).

Topics and features:

• Includes a thorough introduction to this exciting and blossoming field
• Presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks
• Discusses the design and use of a wide range of computational tools and software for social network analysis
• Describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs
• Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

This authoritative work is a useful resource for researchers and developers involved in social network research and related issues. Postgraduate and senior undergraduate students will also find this a valuable reference for courses on CSNs.

Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Social Networks Analysis: Tools, Measures and Visualization....Pages 3-23
Performance Evaluation of Social Network Using Data Mining Techniques....Pages 25-49
Bio-inspired Clustering and Data Diffusion in Machine Social Networks....Pages 51-79
Mining Geo-Referenced Community-Contributed Multimedia Data....Pages 81-102
Correlation Mining for Web News Information Retrieval....Pages 103-128
Mining Micro-blogs: Opportunities and Challenges....Pages 129-159
Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Network....Pages 161-181
Reliable Online Social Network Data Collection....Pages 183-210
Knowledge Mining from the Twitter Social Network: The Case of Barack Obama....Pages 211-229
Front Matter....Pages 231-231
Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach....Pages 233-267
Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments....Pages 269-290
Extraction and Analysis of Facebook Friendship Relations....Pages 291-324
Analysis of Human-Computer Interactions and Online Social Networking: A Framework....Pages 325-343
Implementation of Social Network Analysis for Web Cache Content Mining Visualization....Pages 345-376
Back Matter....Pages 377-385
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