Large scale network visualization with gephi (original) (raw)

AI-generated Abstract

The paper discusses the development of visual representations for network analysis using Gephi as part of the CINET infrastructure. It highlights the challenges analysts face when interpreting large networks and emphasizes the importance of visualization in uncovering significant insights such as clustering and key nodes. The work aims to facilitate better understanding and exploration of networks by integrating visual tools into complex analysis workflows.

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