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Dear Mohammed,

I'd also suggest ERGM as a great method for analysing your network in the way you desire. While I agree somewhat with Alex that the learning curve can be steep, I suggest the following book as a good start into the ERGM terrain (Peter Carrington calls it "comprehensive and comprehensible", and appropriate for non-statisticians). It covers the theory, methods and applications of ERGMs, and has a downloadable example data sets that you can work through.

Lusher, D., Koskinen, J., & Robins, G. (2013). Exponential random graph models for social networks: Theory, methods and applications. New York: Cambridge University Press. http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521141383

Cheers
Dean

Dr Dean Lusher
Lecturer in Sociology
Swinburne Institute for Social Research | Faculty of Life and Social Sciences
Swinburne University of Technology
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Check out our new book on ERGMs: Lusher, D., Koskinen, J., & Robins, G. (2013). Exponential random graph models for social networks: Theory, methods and applications. New York: Cambridge University Press. http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521141383
Buy the book here: http://www.cambridge.org/knowledge/discountpromotion?code=Lusher12

From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Alexander Semenov
Sent: Tuesday, 26 November 2013 6:52 AM
To: [log in to unmask]
Subject: Re: [SOCNET] network comparison or similarity between networks

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Hi all!

Although the article, mentioned by Brian is a platinum classic of the genre, I'm not sure if it's a good paper for jumpstart. Moreover, it uses pseudolikelihood approach, which is considered to be outdated now (as far as I know).

As far as I know, Martin Everett presented his approach to comparison of the same network in different points of time based on QAP which in my humble opinion is more comprehendible than ERGM. Can't find any reference though, but it was presented in St. Petersburg 2 years ago.

But if you feel comfortable with all that maths, stats and simulations, you should go straight to the papers and tools of Tom Snijders & Siena team and Carter Butts & statnet-based papers.

Besides that I can suggest the following things on that topic (after a brief glance into awesome book "Studying Social Networks"):

  *   Newcomb, Theodore M. "The acquaintance process." (1961).
  *   Powell, Walter W., et al. "Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences1." American journal of sociology 110.4 (2005): 1132-1205.
  *   Schnegg, Michael. "Blurred edges, open boundaries: The long-term development of a peasant community in rural Mexico." Journal of anthropological research (2007): 5-31.
Hope that helps.

Best,
Alex.


2013/11/25 Brian Keegan <[log in to unmask]<mailto:[log in to unmask]>>
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My favorite paper across all of social network scholarship uses ERGMs for comparative network studies with some fun findings about the similarity of congressional co-sponsorship to monkey grooming and cow-licking: "Comparing Networks Across Space and Time, Size and Species" http://onlinelibrary.wiley.com/doi/10.1111/1467-9531.00118/abstract

Mark Newman also has a review of several macroscopic network properties in his 2003 review article (see page 10): http://arxiv.org/pdf/condmat/0303516.pdf (citation to: http://epubs.siam.org/doi/abs/10.1137/S003614450342480)

On Mon, Nov 25, 2013 at 9:56 AM, Mohammed Abufouda <[log in to unmask]<mailto:[log in to unmask]>> wrote:
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Hello SocNet,

I want to study the possible similarities between two networks macroscopically ( on the structure level of the network) and microscopically ( on the node level ).
Is there any related literature to start with ?

My aim is to quantify the similarities among two networks, e.g., social network at time T1 and at time T2.

Thanks in advance.
Cheers,

--
Mohammed Abufouda

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--
Brian C. Keegan, Ph.D.
Post-Doctoral Research Fellow, Lazer Lab
College of Social Sciences and Humanities, Northeastern University

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