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*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
>>>
>>> _____________________________________________________________________
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>>
>>
>> _____________________________________________________________________
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>> SOCNET is a service of INSNA, the professional association for social
>> network researchers (http://www.insna.org). To unsubscribe, send an
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>
>
>
>
> --
> *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
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>

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