Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models

Author:

Poux-Médard Gaël1,Velcin Julien1,Loudcher Sabine1

Affiliation:

1. ERIC Université de Lyon, France

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

2. Properties of Reddit News Topical Interactions;Complex Networks and Their Applications XI;2023

3. Multivariate Powered Dirichlet-Hawkes Process;Lecture Notes in Computer Science;2023

4. Powered Dirichlet Process - Controlling the “Rich-Get-Richer” Assumption in Bayesian Clustering;Machine Learning and Knowledge Discovery in Databases: Research Track;2023

5. Serialized Interacting Mixed Membership Stochastic Block Model;2022 IEEE International Conference on Data Mining (ICDM);2022-11

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