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***** To join INSNA, visit http://www.insna.org ***** *Negative Link Prediction in Social Media* Jiliang Tang, Shiyu Chang, Charu Aggarwal and Huan Liu WSDM’15, February 2–6, 2015, Shanghai, China. Amit Rechavi, Ph.D Network Research http://amitre.wix.com/amitrechavi 2015-09-24 22:01 GMT+03:00 Alessandro Bessi <[log in to unmask]>: > ***** 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. > _____________________________________________________________________ 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.