Abraham Computational Social Networks

Mining and Visualization
2012
ISBN: 978-1-4471-4054-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 386 Seiten, eBook

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.

Zielgruppe

Research

Autoren/Hrsg.

Abraham, Ajith

Inhaltsverzeichnis

Part I: MiningSocial Networks Analysis: Tools, Measures and VisualizationNeveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham and Vaclav SnaselPerformance Evaluation of Social Network Using Data Mining TechniquesMrutyunjaya Panda, Ajith Abraham, Satchidananda Dehuri and Manas Ranjan PatraBio-Inspired Clustering and Data Diffusion in Machine Social NetworksIva Bojic, Tomislav Lipic and Vedran PodobnikMining Geo-Referenced Community-Contributed Multimedia DataMilan Mirkovic, Dubravko Culibrk and Vladimir CrnojevicCorrelation Mining for Web News RetrievalJing Liu, Zechao Li and Lu HanqingMining Micro-Blogs: Opportunities and ChallengesYang Liao, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood and Philippa PattisonMining Buyer Behavior Patterns Based on Dynamic Group-Buying NetworksXiao Liu and Jianmei YangReliable Online Social Network Data CollectionFehmi Ben Abdesslem, Iain Parris and Tristan HendersonKnowledge Mining from the Twitter Social Network: The Case of Barack ObamaMarco Guidi, Igor Ruiz-Agundez and Izaskun Canga-SanchezPart II: VisualizationMining and Visualizing Research Networks using the Artefact-Actor-Network ApproachWolfgang Reinhardt, Adrian Wilke, Matthias Moi, Hendrik Drachsler and Peter SloepIntelligent Visual Pattern Clustering for Storage Layouts in Virtual EnvironmentsShao-Shin Hung, Chih Ming Chiu, Tsou Tsun Fu, Jung Tzung Chen and Jyh-Jong TsaySalvatore Catanese, Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara and Alessandro ProvettiAnalysis of Human-Computer Interactions and Online Social Networking: A FrameworkLiguo Yu and Dr. Srini RamaswamyImplementation of Social Network Analysis for Web Cache Content Mining VisualizationSarina Sulaiman, Siti Mariyam Shamsuddin and Ajith Abraham