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Visual Queries on Bipartite Multivariate Dynamic Social Networks


We present a new system for the visualization, visual query, and comparison of social networks modeled as bipartite multivariate dynamic graphs. Historians and sociologists study collections of documents —such as marriage acts, birth certificates, or contracts—from a region and time of interest and can transform them into Bipartite Multivariate Dynamic Social Networks to follow an in-depth analysis. However, few social network analysis tools are designed for this type of network, and existing ones rarely provide enough interactions to answer complex sociological questions. We present a new visual analytics system allowing to explore this type of network. In particular, we designed a visual query system specifically for this data model, allowing social scientists to easily apply filters on the topology and attributes of a network. We demonstrate how the interface coupled with the query system can be used to answer sociological questions with one real-world use case based on construction contracts.
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Dates and versions

hal-03700849 , version 1 (21-06-2022)



Alexis Pister, Christophe Prieur, Jean-Daniel Fekete. Visual Queries on Bipartite Multivariate Dynamic Social Networks. EuroVis 2022 - 24th EG Conference on Visualization, Jun 2022, Rome, Italy. ⟨10.2312/evp.20221115⟩. ⟨hal-03700849⟩
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