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Activity Number:
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384
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #308858 |
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Title:
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Style of Author-Coauthorship Social Networks: Statisticians of Prominent U.S. Universities
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Author(s):
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Walid Sharabati*+ and Yasmin H. Said and Edward Wegman
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Companies:
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George Mason University and George Mason University and George Mason University
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Address:
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403 Hillsboro Dr, Silver Spring, MD, 20902,
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Keywords:
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social networks ; coauthorship ; cliques ; blockmodeling ; MDS clustering ; preferential attachment
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Abstract:
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In the past 20 years social networks have been used to analyze relations and ties among individuals of the same network and similarities between different networks in an attempt to obtain a better understanding on how societies interact. One of the applications of social networks is the author-coauthor networks also known as the citation networks. This branch of social networks tries to answer the question of "who-wrote-with-who" and with what frequency. It also investigates other important features such as cliques, structural equivalence, MDS and CONCOR clustering. Social networks can be treated as directed graphs in which actors (individuals) are represented by vertices (nodes) while interactions between actors are represented by edges (ties) which may have weights. In this paper, we study in depth coauthorship social networks of statisticians from prominent U.S. universities.
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