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cg2xyz

W3C Community Group data extraction tests

  • extractGroups.py - reads W3C Community Group site, writes local JSON summary
  • toGephi.py - reads local JSON, writes CSV file for gephi.github.io analysis

The idea is to look for ways of organizing/analyzing the many Community Groups at W3C. See also http://www.w3.org/2015/10/factsheet.html#Groups for high level overview.

At this point it is a proof of concept that shows crude extraction of a group ID to Person-name bipartite graph. The gephi code is also crude, it just counts the number of people's names that are in common between any pair of community groups.

Not handled:

  • extracting user IDs instead of names
  • extracting photos/icons, group descriptions, etc.
  • extracting links to mailing list(s)
  • any freshness/aliveness metrics
  • extraction from associated public mail archives, e.g. active contributors

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