***** To join INSNA, visit http://www.insna.org ***** Dear Philip, see Wassermann/Faust (1994), chapter 14.3, and the literature cited there. In our book (but German!), we give an example using the Newcomb Fraternity, 2nd year, 3 most preferred choices, week 14: Mark Trappmann, Hans J.Hummell, Wolfgang Sodeur (2011): Strukturanalyse sozialer Netzwerke. Konzepte, Modelle, Methoden. 2nd edition, first 2005. Wiesbaden: Springer Fachmedien (1st edition VS-Verlag). If your network is small (about 200 vertices) and has a relatively weak density, I can offer a quick-and-dirty method by means of random network generators, which were designed for more complicated conditions than MAN originally. We try to bring our old network generators to R at the moment. Programs (Fortran) are about 30 years old. The intension was to test the triad census (and other structural properties of networks) by comparing them with a sufficient number of biased random networks,. At the moment we are still on the level of PC-DOS and the mainframes of this former time. The export to Windows and/or UNIX did not start until now. As conditions for generating the biased random networks we used (a) the >distribution< of outdegrees, (b) both >distributions< of indegrees and outdegrees simultaneously, (c) the same >distributions< as (b) and among these the distribution of reciprocated degrees (symmetric). Before we will publish these old random generators we try to test them by comparisons with analytic results (see above, Wasserman/Faust). This is the point, where we try to use the old programs to generate networks under less restricted conditions: With the old programs (here (c)) we try to generate less restricted random networks like MAN. Tell me the size of your network and the number of mutual and asymmetric ties. If your empirical network does not have too many vertices and is not too dense, I can give vou the expected means and standard deviations of the triad census. Otherwise (density!) the programs will run into deadlocks too often. Best wishes Wolfgang Sodeur ------------------------------------ email: [log in to unmask] address: Universitaet GH Essen, FB1, Universitaetsstr.12, D-45117 Essen Tel. 0049-201-183-3629/3627 (office) 0049-2234-942948 (priv.) Fax. 0049-201-183-3621 ------------------------------------ _____________________________________________________________________ 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.