Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Released on by Nitin Agarwal
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  • Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Book Detail

  • Author : Nitin Agarwal
  • Release Date : 2018-09-17
  • Publisher : Springer
  • Genre : Social Science
  • Pages : 282
  • ISBN 13 : 3319941054
  • File Size : 42,42 MB
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by Nitin Agarwal PDF Summary

Book Description: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

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Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled

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The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applic