Paperback : £98.84
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.
Part I: Mining
Social Networks Analysis: Tools, Measures and Visualization Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham and Vaclav Snasel
Performance Evaluation of Social Network Using Data Mining Techniques Mrutyunjaya Panda, Ajith Abraham, Satchidananda Dehuri and Manas Ranjan Patra
Bio-Inspired Clustering and Data Diffusion in Machine Social Networks Iva Bojic, Tomislav Lipic and Vedran Podobnik
Mining Geo-Referenced Community-Contributed Multimedia Data Milan Mirkovic, Dubravko Culibrk and Vladimir Crnojevic
Correlation Mining for Web News Retrieval Jing Liu, Zechao Li and Lu Hanqing
Mining Micro-Blogs: Opportunities and Challenges Yang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood and Philippa Pattison
Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks Xiao Liu and Jianmei Yang
Reliable Online Social Network Data Collection Fehmi Ben Abdesslem, Iain Parris and Tristan Henderson
Knowledge Mining from the Twitter Social Network: The Case of Barack Obama Marco Guidi, Igor Ruiz-Agundez and Izaskun Canga-Sanchez
Part II: Visualization
Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach Wolfgang Reinhardt, Adrian Wilke, Matthias Moi, Hendrik Drachsler and Peter Sloep
Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments Shao-Shin Hung, Chih Ming Chiu, Tsou Tsun Fu, Jung Tzung Chen and Jyh-Jong Tsay
Salvatore Catanese, Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara and Alessandro Provetti
Analysis of Human-Computer Interactions and Online Social Networking: A Framework Liguo Yu and Dr. Srini Ramaswamy
Implementation of Social Network Analysis for Web Cache Content Mining Visualization Sarina Sulaiman, Siti Mariyam Shamsuddin and Ajith Abraham
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.
Part I: Mining
Social Networks Analysis: Tools, Measures and Visualization Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham and Vaclav Snasel
Performance Evaluation of Social Network Using Data Mining Techniques Mrutyunjaya Panda, Ajith Abraham, Satchidananda Dehuri and Manas Ranjan Patra
Bio-Inspired Clustering and Data Diffusion in Machine Social Networks Iva Bojic, Tomislav Lipic and Vedran Podobnik
Mining Geo-Referenced Community-Contributed Multimedia Data Milan Mirkovic, Dubravko Culibrk and Vladimir Crnojevic
Correlation Mining for Web News Retrieval Jing Liu, Zechao Li and Lu Hanqing
Mining Micro-Blogs: Opportunities and Challenges Yang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood and Philippa Pattison
Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks Xiao Liu and Jianmei Yang
Reliable Online Social Network Data Collection Fehmi Ben Abdesslem, Iain Parris and Tristan Henderson
Knowledge Mining from the Twitter Social Network: The Case of Barack Obama Marco Guidi, Igor Ruiz-Agundez and Izaskun Canga-Sanchez
Part II: Visualization
Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach Wolfgang Reinhardt, Adrian Wilke, Matthias Moi, Hendrik Drachsler and Peter Sloep
Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments Shao-Shin Hung, Chih Ming Chiu, Tsou Tsun Fu, Jung Tzung Chen and Jyh-Jong Tsay
Salvatore Catanese, Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara and Alessandro Provetti
Analysis of Human-Computer Interactions and Online Social Networking: A Framework Liguo Yu and Dr. Srini Ramaswamy
Implementation of Social Network Analysis for Web Cache Content Mining Visualization Sarina Sulaiman, Siti Mariyam Shamsuddin and Ajith Abraham
Part I: Mining.- Social Networks Analysis.- Performance Evaluation of Social Network Using Data Mining Techniques.- Bio-Inspired Clustering and Data Diffusion in Machine Social Networks.- Mining Geo-Referenced Community-Contributed Multimedia Data.- Correlation Mining for Web News Retrieval.- Mining Micro-Blogs.- Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks.- Reliable Online Social Network Data Collection.- Knowledge Mining from the Twitter Social Network.- Part II: Visualization.- Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach.- Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments.- Extraction and Analysis of Facebook Friendship Relations.- Analysis of Human-Computer Interactions and Online Social Networking.- Implementation of Social Network Analysis for Web Cache Content Mining Visualization.
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