Print

Print


*****  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.