A Two-Stage Working Model Strategy for Network Analysis Under Hierarchical Exponential Random Graph Models

@article{Cao2018ATW,
  title={A Two-Stage Working Model Strategy for Network Analysis Under Hierarchical Exponential Random Graph Models},
  author={Ming Cao and Yong Chen and Kayo Fujimoto and Michael Schweinberger},
  journal={2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)},
  year={2018},
  pages={290-298}
}
  • Ming Cao, Yong Chen, M. Schweinberger
  • Published 3 April 2017
  • Computer Science
  • 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Social network data are complex and dependent data. At the macro-level, social networks often exhibit clustering in the sense that social networks consist of communities; and at the micro-level, social networks often exhibit complex network features such as transitivity within communities. Modeling real-world social networks requires modeling both the macro- and micro-level, but many existing models focus on one of them while neglecting the other. In recent work, [28] introduced a class of… 

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