tag:blogger.com,1999:blog-7402079.post112422983749399684..comments2024-03-03T04:00:04.181-05:00Comments on Connectedness: Social Network Analysis in an Imperfect WorldUnknownnoreply@blogger.comBlogger3125tag:blogger.com,1999:blog-7402079.post-1124970884561391582005-08-25T07:54:00.000-04:002005-08-25T07:54:00.000-04:00...is by Costenbader & Valente.http://www.columbia......is by Costenbader & Valente.<BR/><BR/>http://www.columbia.edu/~gk297/missing.pdfAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-7402079.post-1124970526066749412005-08-25T07:48:00.000-04:002005-08-25T07:48:00.000-04:00Confusing... they look at RANDOM networks in their...Confusing... they look at RANDOM networks in their paper... NO social network is known to resemble a random network. Many of their conclusions may not work in real social networks. <BR/><BR/>An alternate paper to read [done with data from social networks] isAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-7402079.post-1124753984748278572005-08-22T19:39:00.000-04:002005-08-22T19:39:00.000-04:00For those of us who primarily work with samples fr...For those of us who primarily work with samples from populations in which networks are not a primary consideration, the potential for error brought on by node or edge removal (or addition) in the world of SNA is a real eye-opener.<BR/><BR/>It would be interesting to hear more about how data collection is done in these environments, and non-random error (false reporting, etc.) is addressed.Stand-Up Guyhttps://www.blogger.com/profile/10693582780502915511noreply@blogger.com