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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/260

Title: COMPUTATIONAL SOCIAL SCIENCE
Authors: SIJI, ANTONY
Keywords: Computational
social science
digital data
social network
centrality
counter terrorism
web advertising
Issue Date: 14-Jun-2010
Abstract: We live life in the network. We check our e-mails regularly, make mobile phone calls from almost any location, swipe transit cards to use public transportation, and make purchases with credit cards. Our movements in public places may be captured by video cameras, and our medical records stored as digital files. We may post blog entries accessible to anyone, or maintain friendships through online social networks. Each of these transactions leaves digital traces that can be compiled into comprehensive pictures of both individual and group behavior, with the potential to transform our understanding of our lives, organizations, and societies. To date, research on human interactions has relied mainly on onetime, self-reported data on relationships. New technologies, such as video surveillance , e-mail, instant chatting etc offer a moment-by-moment picture of interactions over extended periods of time, providing information about both the structure and content of relationships. Computational social science is the capturing and analysis of human activity represented in digital form. It seeks to gain meaning into social phenomena from quantitative data- sets .It diverges from traditional social science in that it uses mathematical methods for modeling social phenomena. The capacity to collect and analyze massive amounts of data has transformed such fields as biology and physics. The emergence of computational social science has been much slower .But computational social science is occurring—in Internet companies such as Google and Yahoo, and in government agencies such as the U.S. National Security Agency
URI: http://hdl.handle.net/123456789/260
Appears in Collections:MTech 2009-2011 Batch

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