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Abstract Details
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Activity Number:
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310
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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General Methodology
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| Abstract - #303626 |
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Title:
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Modeling Continuous-Time Network Data
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Author(s):
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Patrick O Perry*+ and Patrick J Wolfe
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Companies:
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NYU Stern and Harvard University
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Address:
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IOMS, New York, NY, 10012,
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Keywords:
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networks ;
point processes ;
cox model
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Abstract:
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Network data often take the form of repeated interactions between senders and receivers tabulated over time. A primary question to ask of such data is which traits and behaviors are predictive of interaction. To answer this question, we introduce a framework for treating directed interactions as a multivariate point process: a Cox multiplicative intensity model using covariates that depend on the history of the process. We apply the resulting inferential framework to capture message sending behavior in a corporate e-mail network. The analysis gives a precise quantification of which static shared traits and dynamic network effects are predictive of message recipient selection.
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