Applications: Difference between revisions
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* [[Egoredes_(data)|'''Egoredes''' acculturation networks]]: personal networks of immigrants | * [[Egoredes_(data)|'''Egoredes''' acculturation networks]]: personal networks of immigrants | ||
* [[Signos_(data)]] newer and more comprehensive data about personal networks of immigrants than the Egoredes data above | |||
* [[Newcomb_Fraternity_(data)|'''Newcomb Fraternity Data''']] | * [[Newcomb_Fraternity_(data)|'''Newcomb Fraternity Data''']] | ||
* [[Knecht_Classroom_(data)|'''Knecht Classroom Data''']]: four observations of a classroom friendship network | * [[Knecht_Classroom_(data)|'''Knecht Classroom Data''']]: four observations of a classroom friendship network | ||
Revision as of 07:57, 5 June 2012
On this page we list datasets on which the usage of visone can be illustrated.
Empirical datasets
- Egoredes acculturation networks: personal networks of immigrants
- Signos_(data) newer and more comprehensive data about personal networks of immigrants than the Egoredes data above
- Newcomb Fraternity Data
- Knecht Classroom Data: four observations of a classroom friendship network
Workshop data
Auxiliary software
- 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).