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OverviewThis 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. Full Product DetailsAuthor: Ajith AbrahamPublisher: Springer London Ltd Imprint: Springer London Ltd Edition: 2012 ed. Dimensions: Width: 15.50cm , Height: 2.20cm , Length: 23.50cm Weight: 0.764kg ISBN: 9781447140535ISBN 10: 1447140532 Pages: 386 Publication Date: 15 August 2012 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsPart 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |