GraphDuplex: visualisation simultan\'ee de N r\'eseaux coupl\'es 2 par 2
Martine Hurault-Plantet (LIMSI), Elie Naulleau, Bernard Jacquemin, (CREM-EA3476)

TL;DR
GraphDuplex is an open source visualization tool that integrates social network structures with textual content, allowing dynamic exploration of multiple coupled graphs for richer social analysis.
Contribution
It introduces a novel visualization software that combines social and semantic graphs, enabling interactive analysis of complex, multi-layered social data.
Findings
Supports simultaneous visualization of multiple coupled networks
Enables dynamic, interactive exploration across different graph types
Enhances social analysis with semantic content integration
Abstract
While social network analysis often focuses on graph structure of social actors, an increasing number of communication networks now provide textual content within social activity (email, instant messaging, blogging, collaboration networks). We present an open source visualization software, GraphDuplex, which brings together social structure and textual content, adding a semantic dimension to social analysis. GraphDuplex eventually connects any number of social or semantic graphs together, and through dynamic queries enables user interaction and exploration across multiple graphs of different nature.
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Taxonomy
TopicsComplex Network Analysis Techniques · Peer-to-Peer Network Technologies · Wikis in Education and Collaboration
