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Computational Social ­Networks
Mining and Visualization
By Ajith Abraham (Edited by)

Rating
Format
Hardback, 386 pages
Other Formats Available

Paperback : £98.84

Published
United Kingdom, 14 August 2012

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


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£98.89
Ships from UK Estimated delivery date: 4th Apr - 8th Apr from UK

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Product Description

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

Product Details
EAN
9781447140535
ISBN
1447140532
Other Information
XIV, 386 p.
Dimensions
23.4 x 15.2 x 2.5 centimeters (0.72 kg)

Table of Contents

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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