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TEMPORAL CLUSTERING OF SOCIAL NETWORKING CONTENT

  • US 20170270180A1
  • Filed: 03/15/2016
  • Published: 09/21/2017
  • Est. Priority Date: 03/15/2016
  • Status: Active Grant
First Claim
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1. A method comprising:

  • grouping a set of digital content items associated with timestamps and having a user-defined annotation into randomized subsets of digital content items having the user-defined annotation;

    performing, by at least one processor and for each of the randomized subsets of digital content items, a first iteration of a clustering algorithm to identify one or more temporal clusters of the user-defined annotation for the set of digital content items;

    grouping a reduced set of digital content items associated with timestamps having the user-defined annotation into reduced subsets of digital content items having the user-defined annotation;

    performing, by the at least one processor and for each of the reduced subsets of digital content items, a second iteration of the clustering algorithm to identify one or more additional temporal clusters of the user defined annotation for the reduced set of digital content items; and

    determining that the user-defined annotation is periodic based on a time period between the one or more temporal clusters and the one or more additional temporal clusters.

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