Inferring social structure from continuous‐time interaction data

DOI10.1002/asmb.2285zbMath1419.91558arXiv1609.02629OpenAlexW2964257554WikidataQ57200038 ScholiaQ57200038MaRDI QIDQ4627141

Wesley Lee, Tyler H. McCormick, Bailey K. Fosdick

Publication date: 7 March 2019

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.02629

zbMATH Keywords

point processlatent networkcontinuous time networkrelational event data

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30)

Cites Work

• Communication networks from the enron email corpus ``It's always about the people. Enron is no different
• Nonparametric Bayes dynamic modelling of relational data
• Stochastic actor‐oriented models for network change
• Point Process Modelling for Directed Interaction Networks
• Latent Space Models for Dynamic Networks
• Spectra of some self-exciting and mutually exciting point processes
• A Separable Model for Dynamic Networks

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