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Category: SNA with stata

netplot code now on GitHub

Posted on 02/09/2013

Every once in a while, I receive requests to include new features in netplot, such as options for weighted ties, different layout algorithms, or access to regular twoway graph options. I very…

Drawing Watts-Strogatz small world networks with netplot

Posted on 12/04/2013

Omar Lizardo tweets some nice pics Watts-Strogatz small world networks made with netplot in Stata: The original PDF with the pictures is here, the Mata code to generate the networks is here.

From adjacancy matrix to edgelist in Stata

Posted on 19/07/2012

Every once in a while, people e-mail me with questions about netplot, and probably the most frequently asked question is how to convert data from an adjacency matrix into an edgelist, which…

Netplot in the Stata Journal

Posted on 30/03/2011

The Stata Journal was kind enough to publish my paper on , a Stata module to draw social networks. Find it here.

SNA with Stata page updated

Posted on 31/01/2011

I have revamped my to be an overview of available packages and resources to do network analysis in Stata, rather than the description of my own attempts in that field that it…

More SNA in Stata: centpow and networks

Posted on 14/12/2010

Doing network analysis in Stata seems to become more and more popular. In October, we saw the release of centpow by Zachary Neal, which computes various centrality measures. Last week I learned…

Netplot 1.2 available

Posted on 13/10/2010

Updated Oct 14, 2010 I just uploaded a new version of to the SSC repository, from where it should be downloadable within a couple of days you can now install it by…

pajek2stata

Posted on 02/05/2010

Of all the currently available data formats for social network data, the .net format  that Pajek uses is probably the most widely compatible and versatile format in use.  Although these files are…

Drawing social networks in Stata with Netplot

Posted on 12/04/2010

An important part of what makes social network analysis so fascinating to broad audiences is the possibility of visualization of networks. You can already learn a lot about the structure of a…

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