Dynamic Infinite Relational Model for Time-varying Relational Data Analysis

  title={Dynamic Infinite Relational Model for Time-varying Relational Data Analysis},
  author={Katsuhiko Ishiguro and Tomoharu Iwata and Naonori Ueda and Joshua B. Tenenbaum},
We propose a new probabilistic model for analyzing dynamic evolutions of relational data, such as additions, deletions and split & merge, of relation clusters like communities in social networks. Our proposed model abstracts observed timevarying object-object relationships into relationships between object clusters. We extend the infinite Hidden Markov model to follow dynamic and time-sensitive changes in the structure of the relational data and to estimate a number of clusters simultaneously… CONTINUE READING
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