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***** To join INSNA, visit http://www.insna.org ***** Dear Kamal, in our recent paper "Echo chambers in the age of misinformation", we derive a data-driven percolation model on signed networks to explain information diffusion of conflicting narratives (and rumors spreading) on online social networks. Maybe you can find it useful. arXiv: http://arxiv.org/abs/1509.00189 Best, On Thu, Sep 24, 2015 at 8:18 PM, Olivier Walther <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > Dear Kamal, > > David Skillicorn, Quan Zheng and I will present a paper in which spectral > embedding techniques for directed graphs and signed graphs can be combined > to the ISI-ICDM conference in Atlantic City in November. If you are > interested, I'll send you a copy. The abstract can be found below. > > "Signed Directed Social Network Analysis Applied to Group Conflict". > Abstract—Real-world social networks contain relationships of multiple > different types, but this richness is often ignored in graph-theoretic > modelling. We show how two recently developed spectral embedding > techniques, for directed graphs (relationships are asymmetric) and for > signed graphs (relationships are both positive and negative), can be > combined. This combination is particularly appropriate for intelligence, > terrorism, and law enforcement applications. We illustrate by applying the > novel embedding technique to datasets describing conflict in North-West > Africa, and show how unusual interactions can be identified. > > Kind regards, > > Olivier > > > -- > Olivier J. Walther, Ph.D. > Associate Professor > > Department of Border Region Studies > University of Southern Denmark > DK-6400 Sønderborg > +45.65.50.83.93 > Twitter: @ojwalther > ------------------------------ > *From:* Social Networks Discussion Forum [[log in to unmask]] on behalf > of Michael Szell [[log in to unmask]] > *Sent:* Thursday, September 24, 2015 6:43 PM > *To:* [log in to unmask] > *Subject:* Re: [SOCNET] Negative ties, ambivalence and positive/negative > gossip > > ***** To join INSNA, visit http://www.insna.org ***** > Hi Kamal, > maybe one of the main reasons for the lopsided focus on positive rather > than negative ties is the difficulties in acquiring negative tie data. That > said, there are increasing efforts in mapping out this so far mostly > "hidden", but potentially much more important negative part of social > systems. > Besides the important works by Labianca et al that you mentioned, some > recent nice papers on the topic can be found here: > http://recens.tk.mta.hu/en/publications-and-research-papers > Some works of mine also focused on signed networks in an online > environment following a multiplex network approach: > http://www.pnas.org/content/107/31/13636 > http://www.sciencedirect.com/science/article/pii/S0378873310000316 > And there are some papers from the computer science community focusing on > large-scale data sets, for example: > http://dl.acm.org/citation.cfm?id=1753532 > http://dl.acm.org/citation.cfm?id=1772756 > > None of them, as far as I am aware, has linked this explicitly to the > topic of gossip, but that is an interesting next step. The bottleneck is > always the data though. One possibility could be to look into publicly > available data such as the Enron corpus or communication on Twitter. These > have been studied extensively in the context of sentiment analysis, but, as > far as I know, not in both the contexts of signed networks and gossip. > Best, > Michael > > Postdoctoral Research Associate > Northeastern University - CCNR <http://www.barabasilab.com/> > http://michael.szell.net > > > On Thu, Sep 24, 2015 at 12:09 PM, Kamal Badar <[log in to unmask]> > wrote: > >> ***** To join INSNA, visit http://www.insna.org ***** >> Dear All, >> >> Literature on work place gossip talks about network ties and their >> relation to positive/negative work place gossip (e.g. Ellwardt, Steglich & >> Wittek, 2012; Ellwardt, Labianca & Witteka, 2012 ; Grosser, Lopez-Kidwell & >> Labianca, 2010). Mostly studies consider the association of multiplex >> network ties of positive valance (e.g. friendship-instrumental ties) with >> positive/negative gossip or ties solely of positive valance and their >> association with positive/negative gossip. >> >> The literature is surprisingly silent when it comes to negative ties >> (e.g. dislike) and ambivalent multiplex ties (e.g. friendship-hindrance) >> and their relation to positive/negative gossip. Even recommendations for >> future research in many research studies is silent. >> >> What might be the reason? Or is there actually some research available? >> Is is REALLY an avenue to explore or am I thinking in the wrong direction? >> >> Regards >> >> -- >> >> Dr. Kamal Badar >> Assistant Professor (TTS) >> HEC Approved Ph.D. Supervisor >> Institute of Management Sciences >> University of Balochistan >> Quetta, Pakistan. >> http://sc.hec.gov.pk/aphds/Submit.asp?supid=6913 >> >> _____________________________________________________________________ >> 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. > _____________________________________________________________________ > 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. -- *Alessandro Bessi* Mobile: +39.3313427237 Twitter: @ibbessi <https://twitter.com/ibbessi> Web: http://www.alessandrobessi.org _____________________________________________________________________ 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.