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This whole thread (emotion contagion, tipping points) reminds me of
fractal percolation models in physics. Are they being applied in
social networks models ?
--

Marc Idelson (尹丹森)


On Fri, Oct 4, 2013 at 2:22 AM, Moses Boudourides
<[log in to unmask]> wrote:
> ***** To join INSNA, visit http://www.insna.org *****
>
> Harrison C. White argues in Network Switchings and Bayesian Forks:
> Reconstructing the Social and Behavioral Sciences:
>
> "Ties of a type are both network and domain, both relation and talk.
> It is talk that switches, not tie—and certainly not persons, they
> being deposits and byproducts of the process. The substance of a type
> of tie lies in what reflexive accountings are accepted in that
> network-domain as warranties, and in what are the presuppositions and
> entailments. These can all together be approximated as a particular
> set of accepted stories.
> Thus, within a particular micro-historical setting, the tie is also a
> boundary, which comes as the envelope of a joint selection process
> across story set."
>
> If this is the case and furthermore there is access to the textual (or
> audio-visual, video etc.) content of ties-stories in a social network,
> then one could use various machine-learning techniques to do something
> like sentiment (or opinion) analysis, in which sentiments like fear
> (for example) might arise among the harvested parameters under
> consideration.
>
> However, in a literal sense, what Harrison White insinuates is the
> importance of edge(tie)-based attributes over actor-based ones. This
> could mean that one might need to elaborate a sort of assortativity
> analysis for edge attributes, instead of vertex attributes (already
> studied extensively). In particular, this would necessitate a
> comprehensive analysis of multiplexity in social networks, not so much
> from the point of view of aggregating all the existing multirelational
> (sub)patterns but mainly from the angle of their (inter)correlations
> and adjacencies. Note that, if ties are directed, then there are
> multiple ways to define line correlations and adjacencies, which
> result to different ways of obtaining useful network aggregations
> (such as community partitions etc.).
>
> --Moses
>
> On Thu, Oct 3, 2013 at 8:57 PM, Stephen D. Bird - sbird
> <[log in to unmask]> wrote:
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> Fowler and Christakis’ work on happiness, and others, seems to imply that
>> emotion is socially mediated…
>>
>>
>>
>> Fowler, James H., and Nicholas A. Christakis. "Dynamic spread of happiness
>> in a large social network: longitudinal analysis over 20 years in the
>> Framingham Heart Study." BMJ: British medical journal 337 (2008).
>>
>>
>>
>> Cacioppo, John T., James H. Fowler, and Nicholas A. Christakis. "Alone in
>> the crowd: the structure and spread of loneliness in a large social
>> network." Journal of personality and social psychology 97.6 (2009): 977.
>>
>>
>>
>> Hill, Alison L., et al. "Emotions as infectious diseases in a large social
>> network: the SISa model." Proceedings of the Royal Society B: Biological
>> Sciences277.1701 (2010): 3827-3835.
>>
>>
>>
>> Stephen Bird - Assistant Professor, Political Science; Clarkson
>> University
>>
>> 315-268-3990; (c) 857-753-5507; http://people.clarkson.edu/~sbird/
>>
>>
>>
>> For every complex problem there is an answer that is clear, simple, and
>> wrong ~H. L. Mencken
>>
>>
>>
>> From: Social Networks Discussion Forum [mailto:[log in to unmask]] On
>> Behalf Of John T. Maloney
>> Sent: Thursday, October 03, 2013 1:21 PM
>>
>>
>> To: [log in to unmask]
>> Subject: Re: [SOCNET] Fear in Networks
>>
>>
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> Fear is an emotion. It’s an affected state of consciousness. Are emotions
>> socially mediated? Contagious? Networks? Are emotions homophilous? Not
>> sure. Maybe anxious people like other anxious people. Who knows? Lots of
>> people like scary movies. Do joyful people hangout with other joyful people?
>> If any are true then study of any emotion, joy, sorrow, love, etc., would
>> probably indicate some network propagation. Interesting question.
>>
>>
>>
>> Meanwhile, where do emotions, opinions and actions begin and start?
>> ‘Diffusion of Innovation’ is well studied. Does ‘Diffusion of Emotion’ make
>> sense? We all know ‘Diffusion of Opinion’ matters. It’s a huge global media
>> business. Can emotions exhibit herd behaviors? Etc.
>>
>>
>>
>> IMO, emotions are innate properties that are relatively sticky and
>> individual, e.g., people don’t get fearful/scared because someone next to
>> them is scared. Someone gets scared when there is a perceived threat. If the
>> threat comes from an edge, that’s different.
>>
>>
>>
>> For example, would you be sorrowful at a wake for an unknown person? Me? No.
>>
>>
>>
>> -j
>>
>>
>>
>> Possible paradox: Would you be joyful at an Irish wake for a known person?
>> Yes, definitely.
>>
>>
>>
>>
>>
>>
>>
>> From: Social Networks Discussion Forum [mailto:[log in to unmask]] On
>> Behalf Of Valdis Krebs
>> Sent: Thursday, October 03, 2013 9:01 AM
>> To: [log in to unmask]
>> Subject: Re: [SOCNET] Fear in Networks
>>
>>
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>>
>>
>> Robert, we are talking about both: emergence of opinion/stand in a network
>> and emergence/distribution of fear in a network. I am running across more
>> and more client situations where it is important to understand fear in human
>> networks, and how it spreads.
>>
>>
>>
>> Mark, thanks for the "Experiments in Social Computation" link... looks very
>> interesting!
>>
>>
>>
>> Valdis
>>
>>
>>
>> On Oct 3, 2013, at 9:56 AM, nativebuddha wrote:
>>
>>
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> I think it's important to emphasize that we are talking about the broader
>> idea of "changing opinion" in a network, rather than the more specific
>> concept of "fear". You might find more supporting literature if you re-frame
>> it this way.
>>
>>
>>
>> -Robert
>>
>>
>>
>>
>>
>> On Thu, Oct 3, 2013 at 5:11 AM, Mark Kibanov <[log in to unmask]>
>> wrote:
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> Michael Kearns in "Experiments in Social Computation"
>> (Doi:10.1145/2347736.2347753,
>> http://www.cis.upenn.edu/~mkearns/papers/CACM.pdf) showed interesting series
>> of experiments. One of them showed how a well-connected minority changes the
>> opinion of majority (see Figure 7). The minority may even not know they are
>> minority. He personally called it a "republican phenomena" during his
>> keynote.
>>
>>
>>
>> Hope, it brings you further.
>>
>>
>>
>> Best regards,
>>
>> Mark
>>
>> ---------------------------------------------------------------------------
>>
>> Mark Kibanov Tel.: +49-(0)561-804-6253
>>
>> [log in to unmask] www.kde.cs.uni-kassel.de/kibanov/
>>
>>
>>
>> Am 03.10.2013 um 04:57 schrieb Valdis Krebs <[log in to unmask]>:
>>
>>
>>
>> ***** To join INSNA, visit http://www.insna.org *****
>>
>> Looking at the current US government shutdown... it "appears" that a small
>> group of far-right politicians (a minority in their own Republican Party)
>> have sway over the rest of the party (many of whom do not want the
>> shutdown), but out of fear(apparently) all Republicans are supporting/voting
>> the minority view.
>>
>> Can a smart sociologist explain what is going on? Have any SNA studies been
>> done on how a small minority(~10%) controls a majority in a bounded network?
>> Any good papers on fear in networks?
>>
>> Valdis Krebs
>> http://orgnet.com
>> http://thenetworkthinkers.com
>>
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