***** To join INSNA, visit http://www.insna.org ***** 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 Moreover, it uses pseudolikelihood approach, which is considered to be outdated now (as far as I know).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]> > ***** To join INSNA, visit http://www.insna.org ***** > 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]>wrote: > >> ***** To join INSNA, visit http://www.insna.org ***** >> >> 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 >> >> >> _____________________________________________________________________ >> 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. > > > > > -- > Brian C. Keegan, Ph.D. > Post-Doctoral Research Fellow, Lazer Lab > College of Social Sciences and Humanities, Northeastern University > > [log in to unmask] > www.brianckeegan.com > M: 617.803.6971 > O: 617.373.7200 > Skype: bckeegan > _____________________________________________________________________ > 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. > _____________________________________________________________________ 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.