SOCIAL MEDIA ANALYSIS AND ORGANIZATION.- Social Network Analysis: History, Concepts, and Research.- Structure and Dynamics of Social Networks Revealed by Data Analysis of Actual Communication Services.- Analysis of Social Networks by Tensor Decomposition.- Analyzing the Dynamics of Communication in Online Social Networks.- Qualitative Analysis of Commercial Social Network Profiles.- Analysis of Social Networks Extracted from Log Files.- Perspectives on Social Network Analysis for Observational Scientific Data.- Modeling Temporal Variation in Social Network: An Evolutionary Web Graph Approach.- Churn in Social Networks.- SOCIAL MEDIA MINING AND SEARCH.- Discovering Mobile Social Networks by Semantic Technologies.- Online Identities and Social Networking.- Detecting Communities in Social Networks.- Concept Discovery in Youtube.com Using Factorization Method.- Mining Regional Representative Photos from Consumer-Generated Geotagged Photos.- Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User.- Discovering Communities from Social Networks: Methodologies and Applications.- SOCIAL NETWORK INFRASTRUCTURES AND COMMUNITIES.- Decentralized Online Social Networks.- Multi-Relational Characterization of Dynamic Social Network Communities.- Accessibility Testing of Social Websites.- Understanding and Predicting Human Behavior for Social Communities.- Associating Human-Centered Concepts with Social Networks Using Fuzzy Sets.- PRIVACY IN ONLINE SOCIAL NETWORKS.- Managing Trust in Online Social Networks.- Security and Privacy in Online Social Networks.- Investigation of Key-Player Problem in Terrorist Networks Using Bayes Conditional Probability.- Optimizing Targeting of Intrusion Detection Systems in Social Networks.- Security Requirements for Social Networks in Web 2.0.- VISUALISATION AND APPLICATIONS OF SOCIAL NETWORKS.- Visualization of Social Networks.- Novel Visualizations and Interactions for Social Networks Exploration.- Applications of Social Network Analysis.- Online Advertising in Social Networks.- Social Bookmarking on a Company's Intranet: A Study of Technology Adoption and Diffusion.
Über den Autor
Borko Furht is a professor and chairman of the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University (FAU) in Boca Raton, Florida. Professor Furht received his Ph.D. in electrical and computer engineering from the University of Belgrade. His current research is in multimedia systems, video coding and compression, 3D video and image systems, video databases, wireless multimedia, and Internet computing. He is a founder and editor-in-chief of the Journal of Multimedia Tools and Applications (Springer). He has received several technical and publishing awards, and has consulted for many high-tech companies including IBM, Hewlett-Packard, Xerox, General Electric, JPL, NASA, Honeywell, and RCA, and has been an expert witness for Cisco and Qualcomm. He has given many invited talks, keynote lectures, seminars, and tutorials, and served on the Board of Directors of several high-tech companies.
Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn.
The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well.
Provides current and future trends in creating intelligent social networks, and the main players and their social networks applications
Presents web-mining techniques, visualization techniques, social networks and Semantic Web, and many other topics
Includes contributions from world experts in the field of social networks from both academia and private industry
Presents standards for social networks, case studies, and a variety of applications