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SOCNET  August 2016

SOCNET August 2016

Subject:

selected Latest Complexity Digest Posts (fwd)

From:

Barry Wellman <[log in to unmask]>

Reply-To:

Barry Wellman <[log in to unmask]>

Date:

Mon, 1 Aug 2016 08:59:50 -0400

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (122 lines)

*****  To join INSNA, visit http://www.insna.org  *****

   Barry Wellman

    A vision is just a vision if it's only in your head
    Step by step, link by link, putting it together
                  Streisand/Sondheim
  _______________________________________________________________________
   NetLab Network                 FRSC                      INSNA Founder
   http://www.chass.utoronto.ca/~wellman           twitter: @barrywellman
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman
                        http://amzn.to/zXZg39
   _______________________________________________________________________


---------- Forwarded message ----------
Date: Mon, 1 Aug 2016 11:03:43 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>

Disconnected, fragmented, or united? a trans-disciplinary review of network science

    During decades the study of networks has been divided between the 
efforts of social scientists and natural scientists, two groups of 
scholars who often do not see eye to eye. In this review I present an 
effort to mutually translate the work conducted by scholars from both of 
these academic fronts hoping to continue to unify what has become a 
diverging body of literature. I argue that social and natural scientists 
fail to see eye to eye because they have diverging academic goals. Social 
scientists focus on explaining how context specific social and economic 
mechanisms drive the structure of networks and on how networks shape 
social and economic outcomes. By contrast, natural scientists focus 
primarily on modeling network characteristics that are independent of 
context, since their focus is to identify universal characteristics of 
systems instead of context specific mechanisms. In the following pages I 
discuss the differences between both of these literatures by summarizing 
the parallel theories advanced to explain link formation and the 
applications used by scholars in each field to justify their approach to 
network science. I conclude by providing an outlook on how these 
literatures can be further unified.


Disconnected, fragmented, or united? a trans-disciplinary review of network science
César A. Hidalgo
Applied Network Science 2016 1:6
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=ee1d2f0b3c&e=55e25a0e3e

See it on Scoop.it (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=aaac0da5de&e=55e25a0e3e) , via Papers (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=3552efdeee&e=55e25a0e3e)


The emotional arcs of stories are dominated by six basic shapes

    Advances in computing power, natural language processing, and 
digitization of text now make it possible to study our a culture's 
evolution through its texts using a "big data" lens. Our ability to 
communicate relies in part upon a shared emotional experience, with 
stories often following distinct emotional trajectories, forming patterns 
that are meaningful to us. Here, by classifying the emotional arcs for a 
filtered subset of 1,737 stories from Project Gutenberg's fiction 
collection, we find a set of six core trajectories which form the building 
blocks of complex narratives. We strengthen our findings by separately 
applying optimization, linear decomposition, supervised learning, and 
unsupervised learning. For each of these six core emotional arcs, we 
examine the closest characteristic stories in publication today and find 
that particular emotional arcs enjoy greater success, as measured by 
downloads.


The emotional arcs of stories are dominated by six basic shapes
Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds

http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=1d5a8a3f9e&e=55e25a0e3e

See it on Scoop.it (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6156603bdd&e=55e25a0e3e) , via Papers (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=47dd5fd520&e=55e25a0e3e)

Information and Selforganization: A Unifying Approach and Applications

    Selforganization is a process by which the interaction between the parts of a complex system gives rise to the spontaneous emergence of patterns, structures or functions. In this interaction the system elements exchange matter, energy and information. We focus our attention on the relations between selforganization and information in general and the way they are linked to cognitive processes in particular. We do so from the analytical and mathematical perspective of the ˙˙second foundation of synergetics˙˙ and its ˙˙synergetic computer˙˙ and with reference to several forms of information: Shannon˙˙s information that deals with the quantity of a message irrespective of its meaning, semantic and pragmatic forms of information that deal with the meaning conveyed by messages and information adaptation that refers to the interplay between Shannon˙˙s information and semantic or pragmatic information. We first elucidate the relations between selforganization and information theoretically
and mathematically and then by means of specific case studies.


Information and Selforganization: A Unifying Approach and Applications
Hermann Haken and Juval Portugali

Entropy 2016, 18(6), 197; http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=99151bea76&e=55e25a0e3e

See it on Scoop.it (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=18566e6b25&e=55e25a0e3e) , via Papers (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=7acd49a897&e=55e25a0e3e)



CCS Warm-Up

    Coinciding with the CCS'16 conference in Amsterdam, the III CCS Warm-Up School on Complex Systems will take place the weekend prior to the main conference (September 16-18, 2016).

This is the third edition of a school aimed at PhD students, postdocs and young researchers in general. This year the event features lectures by Diego Garlaschelli, Francesco Bonchi and Chiara Poletto, a flash-talk session where participants can present their work or interests, and a final social event.

For details visit:
http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=cbdf23a8e5&e=55e25a0e3e (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6ee68321ff&e=55e25a0e3e)

To register via Eventbrite visit:
http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=442d4f60c6&e=55e25a0e3e


See it on Scoop.it (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=3dd418c621&e=55e25a0e3e) , via CxConferences (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=ca99fb3be5&e=55e25a0e3e)



==============================================
Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

You can contribute to Complexity Digest selecting one of our topics (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=007bc9e902&e=55e25a0e3e ) and using the "Suggest" button.
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