Managing attributes (tutorial)

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Revision as of 15:30, 28 January 2011 by Lerner (talk | contribs) (An exemplary dataset: Newcomb Fraternity Data)
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This trail introduces you to the full power of visone's attribute manager and shows you how to select elements dependent on attribute values. The attribute manager allows you, for instance, to convert tie strength to distance or rankings and vice versa, dichotomize networks, rescale tie weights and much more.


An exemplary dataset: Newcomb Fraternity Data

The Newcomb Fraternity Data (see Newcomb T. (1961). The acquaintance process. New York: Holt, Reinhard & Winston.) consits of 15 matrices recording weekly sociometric preference rankings from 17 men attending the University of Michigan in the fall of 1956. Each participant ranks all 16 others from best friend down to least friend. This data set is explained in more detail on the page Newcomb Fraternity (data).

To follow the steps illustrated in this trail, you should download the file Newfrat.zip (ZIP file containing the 15 matrices newfrat01.csv to newfrat15.csv), save it to your computer and decompress (unzip) it.

Selecting links below a threshold

Modyfying attributes

Centrality on weighted networks