Topic-aware joint analysis of overlapping communities and roles in social media

Author:

Costa Gianni,Ortale Riccardo

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation,Information Systems

Reference83 articles.

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2. Ahmed, N., Rossi, R., Lee, J., Willke, T., Zhou, R., Kong, X., Eldardiry, H.: Learning role-based graph embeddings. In: Proceedings of International Workshop on Statistical Relational AI (2018)

3. Ahn, Y., Bagrow, J., Lehmann, S.: Link communities reveal multiscale complexity in networks. Nature 466, 761–764 (2010)

4. Airoldi, E., Blei, D., Fienberg, S., Xing, E.: Mixed membership stochastic blockmodels. J. Mach. Learn. Res. 9, 1981–2014 (2008)

5. Berry, G.: Role action embeddings: scalable representation of network positions. arXiv:1811.08019 (2018)

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1. An interaction-based method for detecting overlapping community structure in real-world networks;International Journal of Data Science and Analytics;2022-03-11

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