Difference between revisions of "Managing attributes (tutorial)"

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(An exemplary dataset: Newcomb Fraternity Data)
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To follow the steps illustrated in this trail, you should download the file [[Media:Newfrat.zip|Newfrat.zip]] (ZIP file containing the 15 matrices ''newfrat01.csv'' to ''newfrat15.csv''), save it to your computer and decompress (''unzip'') it.
 
To follow the steps illustrated in this trail, you should download the file [[Media:Newfrat.zip|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 ==
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== Import the CSV files ==
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== Selecting and deleting links below a threshold ==
  
  

Revision as of 15:31, 28 January 2011

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.


Import the CSV files

Selecting and deleting links below a threshold

Modyfying attributes

Centrality on weighted networks