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Lookup NU author(s): Professor Darren Wilkinson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
There have been rapid developments in model-based clustering of graphs, also known as block modelling, over the last ten years or so. We review different approaches and extensions proposed for different aspects in this area, such as the type of the graph, the clustering approach, the inference approach, and whether the number of groups is selected or estimated. We also review models that combine block modelling with topic modelling and/or longitudinal modelling, regarding how these models deal with multiple types of data. How different approaches cope with various issues will be summarised and compared, to facilitate the demand of practitioners for a concise overview of the current status of these areas of literature.
Author(s): Lee C, Wilkinson DJ
Publication type: Article
Publication status: Published
Journal: Applied Network Science
Online publication date: 23/12/2019
Acceptance date: 08/11/2019
Date deposited: 05/01/2020
ISSN (electronic): 2364-8228
Publisher: Springer Open
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