Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks

@article{Li2012CentralityAR,
  title={Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks},
  author={Cheng-Te Li and Shou-De Lin},
  journal={2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing},
  year={2012},
  pages={1-10}
}
The social network is a powerful data structure allowing the depiction of relationship information between entities. Recent researchers have proposed many successful methods on analyzing homogeneous social networks assuming only a single type of node and relation. Nevertheless, real-world complex networks are usually heterogeneous, which presumes a network can be composed of different types of nodes and relations. In this paper, we propose an unsupervised tensor-based mechanism considering… CONTINUE READING

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