Computational Social Networks: Tools, Perspectives, and Challenges
نویسندگان
چکیده
Computational social science is a new emerging field that has overlapping regions from mathematics, psychology, computer sciences, sociology, and management. Social computing is concerned with the intersection of social behavior and computational systems. It supports any sort of social behavior in or through computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. Thus, blogs, email, instant messaging, social network services, wikis, social bookmarking, and other instances of what is often called social software illustrate ideas from social computing. Social network analysis is the study of relationships among social entities. It is becoming an important tool for investigators. However all the necessary information is often distributed over a number of websites. Interest in this field is blossoming as traditional practitioners in the social and behavioral sciences are being joined by researchers from statistics, graph theory, machine learning, M. Panda ( ) Department of ECE, Gandhi Institute for Technological Advancement (GITA), Bhubaneswar, Odisha, India e-mail: [email protected] N. El-Bendary Arab Academy for Science, Technology, and Maritime Transport, Cairo, Egypt e-mail: nashwa [email protected] M.A. Salama Department of Computer Science, British University in Egypt, Cairo, Egypt e-mail: [email protected] A.E. Hassanien Faculty of Computers and Information, Cairo University, Cairo, Egypt e-mail: [email protected] A. Abraham Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, WA, USA e-mail: [email protected] A. Abraham and A.-E. Hassanien (eds.), Computational Social Networks: Tools, Perspectives and Applications, DOI 10.1007/978-1-4471-4048-1 1, © Springer-Verlag London 2012 3
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