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*****  To join INSNA, visit http://www.insna.org  *****

Pardon the late 2 cents. I only check my mailing list emails from time to time.

I just took on a PhD student for whom I prepared this list of sources:

*Programs:*
- RSiena: 
    o http://stat.gamma.rug.nl/siena.html
    o http://www.stats.ox.ac.uk/~snijders/siena/siena_r.htm
    o http://www.drewconway.com/zia/?p=1221 
    o http://www.drewconway.com/zia/?p=1485
    o Butts CT (2008). Social Network Analysis with sna. Journal of Statistical Software, 24(6). http://www.jstatsoft.org/v24/i06/
    o http://merlin.fae.ua.es/vanderleij/socialnetworks_0809/index.htm
    o http://stackoverflow.com/questions/1894190/basic-sna-in-r-how-to-load-network-data/1897837
- NetworkX http://networkx.lanl.gov/
- ORA http://www.casos.cs.cmu.edu/projects/ora/software.php
- UCINet http://www.analytictech.com/ucinet/ 
- Pajek http://pajek.imfm.si/doku.php?id=download
    o excel2pajek http://vlado.fmf.uni-lj.si/pub/networks/pajek/howto/excel2Pajek.htm
- SoNIA http://www.stanford.edu/group/sonia/
- Gephi (visualization): http://gephi.org.
    o Watch an introduction in video here: http://vimeo.com/9726202
    o A quick start tutorial is available here: http://gephi.org/2010/quick-start-tutorial/
    o You can test it with some datasets like the structure of the Internet made by Mark Newman in 2006: http://gephi.org/datasets/internet_routers-22july06.gml.zip.
    o Other datasets are available here: http://wiki.gephi.org/index.php?title=Datasets
- Visone 
    o http://www.visone.info/
    o http://www.inf.uni-konstanz.de/algo/visone/visone_sonia.avi
- NodeXL
    o http://casci.umd.edu/NodeXL_Teaching
- AutoMap
    o http://www.casos.cs.cmu.edu/projects/automap/ 

*Datasets:*
- http://snap.stanford.edu/
- http://wp.me/poFcY-x8
- http://socialnetworks.mpi-sws.org/

*Misc:*
- Socnet twitteres http://twitter.com/valdiskrebs/network-analysis/members

Aside:
For NodeXL, I find it helps to separate the data collection spreadsheet from the analysis, and copy and paste (values) when ready for analysis:
http://cie-unsw.blogspot.com/2011/03/mapping-sydneys-innovation-system-pet.html

Best regards,
Martin

Dr. Martin J. Bliemel
Lecturer; Director, Centre for Innovation & Entrepreneurship
[log in to unmask]
o: +61 (0)2 -9385 5671

Australian School of Business
Strategy and Entrepreneurship
University of New South Wales
East Wing 5th Floor, 566
UNSW Sydney, NSW 2052
Australia

www.cie.unsw.edu.au
________________________________________
From: Social Networks Discussion Forum [[log in to unmask]] On Behalf Of Malcolm Alexander [[log in to unmask]]
Sent: Friday, 21 January 2011 1:46 PM
To: [log in to unmask]
Subject: Re: [SOCNET] Fwd: FW: Your favorite network mapping tool? Try NodeXL!

*****  To join INSNA, visit http://www.insna.org  *****

I have just finished teaching a course on SNA at the ACSPRI Summer School -
Canberra Australia. This is the tenth time I have done it now.
I have found that NetDraw is the best way to get into some basic network
diagrams - however you need to do this by using the VNA data format
described (briefly) in the NetDraw documentation.

I have students enter their node data and tie data as separate worksheets in
an Excel document. This allows you to do all your data cleaning and simple
analyses using the Excel functions. You then copy and paste this information
into a text (Notepad) file and read it directly into UCINET and/or NetDraw.

NodeXL utilises almost the same structure for data management - so I am
planning to run it as well as NetDraw. It has different visualisation potential.
However it is much more limited. A couple of drawbacks I have found:

1. NodeXL expects numeric data only for node/ vertex data. Much social
science data is categorical and it is useful to have the labels (e.g. Male and
Female) immediately visible. NetDraw handles this type of data much better.

2. NodeXL will import tie/edge data from another Excel document. When it
does so, however, it wipes out any node/vertex data you had in the NodeXL
template.

I think the drawing and visualisation possibilities in NodeXL are better than
NetDraw - and it has an UnDo button - which NetDraw does not. However for
most social science type network dataset I think the VNA format is best for
data management and NetDraw is optimised to produce useful diagrams
quickly.

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