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Method and system for correlating social media conversions

  • US 10,489,817 B2
  • Filed: 03/29/2018
  • Issued: 11/26/2019
  • Est. Priority Date: 08/31/2012
  • Status: Active Grant
First Claim
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1. An apparatus, comprising:

  • a memory configured to store social signal data based on social signals published using social media accounts, the social signal data including first information that includes a content of the social signals and second information that is different than the first information, wherein the second information includes metadata including identifiers carried in reply social signals of the social signals to explicitly link the reply social signals to root social signals of the social signals; and

    a processor to generate additional social signal data using the social signal data, the processor configured to;

    identify conversations in the social signals using said second information, wherein the conversations are based on the identifiers carried in the reply social signals;

    group the conversations into clusters using the first information and based on similarity of terms of the conversations, including;

    form a first set of clusters that corresponds to a first time; and

    form one or more second sets of clusters that correspond to one or more second different times, respectively; and

    wherein, responsive to the grouping using the first information, a first one of the conversations is grouped with a second one of the conversations into a same one of the clusters of the first set or the one or more second sets, the first one of the conversations based on a first root social signal of the root social signals that is not explicitly linked, by the identifiers carried in the reply social signals, with a second different root social signal of the root social signals and on which the second one of the conversations is based, and wherein the additional social signal data includes information about the clusters; and

    the processor is further configured to link the clusters together into a plurality of conversation streams based on the additional social signal data and generate an interactive visualization showing one or more continuous time series image flows representing the plurality of conversation streams.

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