Computational Social Networks
Mining and Visualization
(Sprache: Englisch)
This book, the third of three volumes exploring the concept of social networks from a computational point of view, offers contributions from world-class experts concentrating on topics relating to knowledge discovery and visualization of complex networks.
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This book, the third of three volumes exploring the concept of social networks from a computational point of view, offers contributions from world-class experts concentrating on topics relating to knowledge discovery and visualization of complex networks.
Klappentext zu „Computational Social Networks “
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.
Inhaltsverzeichnis zu „Computational Social Networks “
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.
Autoren-Porträt
Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).
Bibliographische Angaben
- 2014, 2012, 386 Seiten, Masse: 16 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ajith Abraham
- Verlag: Springer, Berlin
- ISBN-10: 1447162374
- ISBN-13: 9781447162377
Sprache:
Englisch
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