EgoNet2GraphML (software)

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EgoNet is a software to conduct interviews in which the personal networks of respondents are collected. EgoNet2GraphML can (1) convert EgoNet interviews into GraphML files (that can be opened with visone) and (2) cluster, aggregate, and visualize collections of personal networks using the methodology proposed in: Ulrik Brandes, Juergen Lerner, Miranda J. Lubbers, Chris McCarty, and Jose Luis Molina "Visual Statistics for Collections of Clustered Graphs". Proc. IEEE Pacific Visualization Symp. (PacificVis'08), 2008 (link to pdf).

See the tutorial on personal networks to learn how to use this software. To download EgoNet2GraphML and see licensing information go to the EgoNet2GraphML website.

EgoNet2GraphML can open one or more interview files that have been filled out according to the same questionnaire (.ego-file). Then it can export these personal networks to GraphML files either on the individual level or after an attribute-based clustering.

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