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Abstract Details
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Activity Number:
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4
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #303775 |
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Title:
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Characterizing the Asymmetric Flow of Information in Directed Networks
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Author(s):
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Karl Rohe*+ and Bin Yu
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Companies:
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University of Wisconsin-Madison and University of California at Berkeley
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Address:
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Statistics Department , Madison, WI, 53706,
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Keywords:
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Abstract:
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Relationships in social networks are often asymmetric and can represent the flow of information from one person to another. Email messages are one example. Using the directed stochastic blockmodel, this talk will (i) present a way to characterize the asymmetric flow of information in a directed network and (ii) demonstrate how this can identify "bottleneck nodes" in a citation network.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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