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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

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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

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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://michael.szell.net

On Thu, Sep 24, 2015 at 12:09 PM, Kamal Badar <[log in to unmask]> wrote:

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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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