A multilayer exponential random graph modelling approach for weighted networks
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DOI: 10.1016/j.csda.2019.106825
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Cited by:
- Yingjie Lu & Xinwei Wang & Lin Su & Han Zhao, 2023. "Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities," Mathematics, MDPI, vol. 11(21), pages 1-20, October.
- Park, Jaewoo & Jin, Ick Hoon & Schweinberger, Michael, 2022. "Bayesian model selection for high-dimensional Ising models, with applications to educational data," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
- Zhou Nie, 2023. "Using Exponential Random Graph Models for Social Networks to Understand Meta-Communication in Digital Media," Social Sciences, MDPI, vol. 12(4), pages 1-11, April.
- Polansky, Alan M. & Pramanik, Paramahansa, 2021. "A motif building process for simulating random networks," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
- Kei, Yik Lun & Chen, Yanzhen & Madrid Padilla, Oscar Hernan, 2023. "A partially separable model for dynamic valued networks," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
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Keywords
Statistical network models; Weighted networks; Bayesian analysis; Intractable models;All these keywords.
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