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Network science: an introduction to recent statistical approaches
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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Paris, France
SESSION: Keynote talks table of contents
Pages 9-10  
Year of Publication: 2009
ISBN:978-1-60558-495-9
Author
Stanley Wasserman  Indiana University, Bloomington, IN, Uae
Sponsors
ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Network science focuses on relationships between social entities. It is used widely in the social and behavioral sciences, as well as in political science, economics, organizational science, and industrial engineering. The social network perspective has been developed over the last sixty years by researchers in psychology, sociology, and anthropology, and morerecently, to a lesser extent, in physics. Network science is gaining recognition and standing in the general social and behavioral science communities as the theoretical basis for examining social structures. This basis has been clearly defined by many theorists, and the paradigm convincingly applied to important substantive problems. However, the paradigm requires a new and different set of concepts and analytic tools, beyond those provided by standard quantitative (particularly, statistical) methods. These concepts and tools are the topics of this talk.