***** To join INSNA, visit http://www.insna.org ***** Dear Shahadat, Some experts will probably give you more details, but here is my experience with SAOM: To give you an idea of the technical limitations, I have successfully run a model with 1200 actors in less than 24 hours using RSiena (My machine: Processor 3.06 Ghz; 16 GB of RAM; 64-bit OS). Then the computing time increases exponentially. Besides the technical limitations, and depending on the kind of network you analyze, you might also violate the assumption that each actor knows the particular way ties are organized in the network (Snijders et al. 2010). I also think that a new type of SAOM for the modeling of large networks is under development. This should partially overcome the technical limitations related to the size of the network, and also relax the assumption that actors are able to evaluate their position in the network (I think that the idea is to switch from the assumption of information on the entire structure to information on the local structure, which is also more realistic for small networks anyway). Best, Pierre-Alex Reference: Snijders T., Van De Bunt G. and Steglich C. (2010) Introduction to actor-based models for network dynamics, Social Networks 32, 44 -- 60. On 14-2-2012 11:35, Shahadat Uddin wrote: > ***** To join INSNA, visit http://www.insna.org ***** > > Dear All, > > Can anyone help me with the answer of the following question: > > What is the largest size of a network (in respect of adjacent matrix) > so that the known methods (i.e., ERGM and stochastic actor-level > method) can be applied using any available software (e.g., Pnet, R) to > capture the network-level dynamics? > > Regards > > Shahadat > > _____________________________________________________________________ > 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. -- Dr. Pierre-Alexandre Balland Research fellow Urban and Regional Research Centre Utrecht (URU) Section of Economic Geography Faculty of GeoSciences, Utrecht University Heidelberglaan 2 - Room 625 PO Box 80 115 3508 TC Utrecht, The Netherlands Phone: +31 (0) 30 253 2726 Homepage: http://econ.geo.uu.nl/balland/balland.html _____________________________________________________________________ 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.