***** To join INSNA, visit http://www.insna.org ***** It's not specific to networks, but I recall a few of Andrew Gelman's old blog posts that might be relevant to the issue: e.g., http://andrewgelman.com/2012/09/what-do-statistical-p-values-mean-when-the-sample-the-population/ . Regards, Andy Slaughter On Tue, Nov 20, 2012 at 7:33 AM, kamal badar <[log in to unmask]>wrote: > ***** To join INSNA, visit http://www.insna.org ***** > Dear All, > > According to Hanneman & Riddle (2005) " Social network analysts rarely > use samples in their work. Most commonly, network analysts identify a > population and conduct a census of that population. The boundaries are > those imposed by the researcher or even created by the actors themselves. > Social network studies, therefore often draw the boundaries around a > population that is known, a priori, to be a network" (Page 5). > > Talking about co-authorship networks, we collect bibliometric data from > databases according to boundaries imposed (geographic location of > researchers, disciplinary fields, journals within the fields or individual > institutions or departments ect). If the co-authorship network understudy > is considered a population, what implications/limitations can we have while > applying inferential statistics (e.g. correlation and OLS regression) to a > specific phenomenon (for e.g. examining the association of centrality and > academic performance)? Doesn't the exercise of inferential statistics > provide types of estimates of population parameters and characteristics > based on a sample of that population not the population itself? How can > we defend if we do indeed apply inferential statistics to co-authorship > network? > > Hoping to get important insights from the experts. > > Regards > Kamal Badar > Doctoral Student > Asian Insitute of Technology > Thailand. > _____________________________________________________________________ > 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.