Model-based clustering of time-evolving networks through temporal exponential-family random graph models
Dynamic networks are a general language for describing time-evolving complex systems, and discrete time network models provide an emerging statistical technique for various applications. It is a fundamental research question to detect a set of nodes sharing similar connectivity patterns in time-evol...
| Publié dans: | Journal of multivariate analysis. - 1998. - 175(2020) vom: 01. Jan. |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2020
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| Accès à la collection: | Journal of multivariate analysis |
| Sujets: | Journal Article Minorization-maximization Model selection Model-based clustering Temporal ERGM Time-evolving network Variational EM algorithm |
| Accès en ligne |
Volltext |