Abstract Details
Activity Number:
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214
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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Abstract #311646
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View Presentation
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Title:
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Point Process Models on Networks
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Author(s):
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Andrea Bertozzi*+
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Companies:
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University of California, Los Angeles
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Keywords:
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Abstract:
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We discuss a mathematical framework based on a self-exciting point process aimed at analyzing temporal patterns in the series of interaction events between agents in a social network. We show how such models can apply to a variety of real-world datasets such as gang crimes and email traffic. We discuss reconstruction models that allows one to predict the unknown participants in a portion of those events when only partial information is available. Such approaches can be useful for solving unsolved gang crimes or for security applications involving cyber communication.
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Authors who are presenting talks have a * after their name.
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