• Corpus ID: 63087632

Discovering Archetypes to Interpret Evolution of Individual Behavior

@article{Narang2019DiscoveringAT,
  title={Discovering Archetypes to Interpret Evolution of Individual Behavior},
  author={Kanika Narang and Austin Chung and H. Sundaram and Snigdha Chaturvedi},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.05567}
}
In this paper, we aim to discover archetypical patterns of individual evolution in large social networks. In our work, an archetype comprises of \emph{progressive stages} of distinct behavior. We introduce a novel Gaussian Hidden Markov Model (G-HMM) Cluster to identify archetypes of evolutionary patterns. G-HMMs allow for: near limitless behavioral variation; imposing constraints on how individuals can evolve; different evolutionary rates; and are parsimonious. Our experiments with Academic… 

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