GraphDuplex: visualisation simultan\'ee de N r\'eseaux coupl\'es 2 par 2

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.