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***** To join INSNA, visit http://www.insna.org ***** Aziz, thank you, thank you, thank you. That is exactly what I was looking for. John On Tue, Feb 22, 2011 at 12:22 PM, Aziz Mohaisen <[log in to unmask]> wrote: > What you have explained here is the Jaccard index ( > http://en.wikipedia.org/wiki/Jaccard_index), which is very closely related > to the cosine similarity measure ( > http://en.wikipedia.org/wiki/Cosine_similarity). Both measures are used > for measuring how similar two samples (sets, clusters, etc) are. > > Best > Aziz > > Abedelaziz Mohaisen > Ph.D. Student, UMN > http://www.cs.umn.edu/~mohaisen > > > > On Mon, Feb 21, 2011 at 9:07 PM, John McCreery <[log in to unmask]>wrote: > >> ***** To join INSNA, visit http://www.insna.org ***** A few months ago I >> stumbled across a simple measure of cluster overlap. Assume two clusters, A >> and B, that contain a total of n nodes of which m nodes belong to both >> clusters or, in other words, n is the number of nodes in the union of A and >> B and m the number of nodes in the intersection of A and B. The measure is >> something along the lines of overlap=m/n=nodes in intersection/nodes in >> union. My problem is (1) that I have forgotten where I found this measure >> and (2) am not 100% sure that it was as simple as I recall. If you recognize >> this problem, can point me to a source or provide me with a correct or >> better formula, your help will be much appreciated. >> >> John >> >> -- >> John McCreery >> The Word Works, Ltd., Yokohama, JAPAN >> Tel. +81-45-314-9324 >> [log in to unmask] >> http://www.wordworks.jp/ >> _____________________________________________________________________ >> SOCNET is a service of INSNA, the professional association for social >> network researchers (http://www.insna.org). To unsubscribe, send an email >> message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET >> in the body of the message. > > > -- John McCreery The Word Works, Ltd., Yokohama, JAPAN Tel. +81-45-314-9324 [log in to unmask] http://www.wordworks.jp/ _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.