***** To join INSNA, visit http://www.insna.org ***** Bongwon Suh, et al. have done some work on features that predict the likelihood of messages being retweeted: http://peterpirolli.com/Professional/About_Me_files/2010-04-15-retweetability-v18-final.pdf It's also been cited extensively, so I'd look through these as well: http://scholar.google.com/scholar?cites=4176598563614687069 On Sat, Feb 16, 2013 at 8:17 PM, AliReza Khoshgoftar Monfared < [log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > Hi, > > Does anybody know of a work or dataset that has studied the patterns of > usage of social networks? > > In particular, I am looking for a dataset or a paper that studies the time > and patterns of users being on / off on the network(say facebook, twitter > or some social network) and its effect on the diffusion of information on > the social network. > > Also, on a lower level, if you can point me to a work analyzing the delays > in sending information through a social network (either targeted message > sending or data dissemination, like wall posts). I am interested to see if > any work has studied the delays associated with these activities, which in > turn is dependent on usage patterns of them by users. > > > > Thanks > ALireza > _____________________________________________________________________ > 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.