LISTSERV mailing list manager LISTSERV 16.0

Help for SOCNET Archives


SOCNET Archives

SOCNET Archives


SOCNET@LISTS.UFL.EDU


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

SOCNET Home

SOCNET Home

SOCNET  January 2017

SOCNET January 2017

Subject:

selected Latest Complexity Digest Posts (fwd)

From:

Barry Wellman <[log in to unmask]>

Reply-To:

Barry Wellman <[log in to unmask]>

Date:

Mon, 23 Jan 2017 09:55:27 -0500

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (202 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, 23 Jan 2017 12:02:55 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
Reply-To: [log in to unmask]
To: "[utf-8] Barry" <[log in to unmask]>
Subject: [utf-8] Latest Complexity Digest Posts

Learn about the latest and greatest related to complex systems research. More at http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=3801cff544&e=55e25a0e3e



Dynamics on expanding spaces: modeling the emergence of novelties

    Novelties are part of our daily lives. We constantly adopt new 
technologies, conceive new ideas, meet new people, experiment with new 
situations. Occasionally, we as individuals, in a complicated cognitive 
and sometimes fortuitous process, come up with something that is not only 
new to us, but to our entire society so that what is a personal novelty 
can turn into an innovation at a global level. Innovations occur 
throughout social, biological and technological systems and, though we 
perceive them as a very natural ingredient of our human experience, little 
is known about the processes determining their emergence. Still the 
statistical occurrence of innovations shows striking regularities that 
represent a starting point to get a deeper insight in the whole 
phenomenology. This paper represents a small step in that direction, 
focusing on reviewing the scientific attempts to effectively model the 
emergence of the new and its regularities, with an emphasis on more recent 
contributions: from the plain Simon's model tracing back to the 1950s, to 
the newest model of Polya's urn with triggering of one novelty by another. 
What seems to be key in the successful modelling schemes proposed so far 
is the idea of looking at evolution as a path in a complex space, 
physical, conceptual, biological, technological, whose structure and 
topology get continuously reshaped and expanded by the occurrence of the 
new. Mathematically it is very interesting to look at the consequences of 
the interplay between the "actual" and the "possible" and this is the aim 
of this short review.


Dynamics on expanding spaces: modeling the emergence of novelties
Vittorio Loreto, Vito D. P. Servedio, Steven H. Strogatz, Francesca Tria

Source: arxiv.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=3518e1783f&e=55e25a0e3e)



Quantifying the diaspora of knowledge in the last century

    Academic research is driven by several factors causing different 
disciplines to act as ˙˙sources˙˙ or ˙˙sinks˙˙ of knowledge. However, how 
the flow of authors˙˙ research interests ˙˙ a proxy of human knowledge ˙˙ 
evolved across time is still poorly understood. Here, we build a 
comprehensive map of such flows across one century, revealing fundamental 
periods in the raise of interest in areas of human knowledge. We identify 
and quantify the most attractive topics over time, when a relatively 
significant number of researchers moved from their original area to 
another one, causing what we call a ˙˙diaspora of the knowledge˙˙ towards 
sinks of scientific interest, and we relate these points to crucial 
historical and political events. Noticeably, only a few areas ˙˙ like 
Medicine, Physics or Chemistry ˙˙ mainly act as sources of the diaspora, 
whereas areas like Material Science, Chemical Engineering, Neuroscience, 
Immunology and Microbiology or Environmental Science behave like sinks.


Quantifying the diaspora of knowledge in the last century
Manlio De Domenico, Elisa Omodei and Alex Arenas
Applied Network Science20161:15
DOI: 10.1007/s41109-016-0017-9

Source: appliednetsci.springeropen.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=92af8ac8ed&e=55e25a0e3e)


The global dynamical complexity of the human brain network

    How much information do large brain networks integrate as a whole over 
the sum of their parts? Can the dynamical complexity of such networks be 
globally quantified in an information-theoretic way and be meaningfully 
coupled to brain function? Recently, measures of dynamical complexity such 
as integrated information have been proposed. However, problems related to 
the normalization and Bell number of partitions associated to these 
measures make these approaches computationally infeasible for large-scale 
brain networks. Our goal in this work is to address this problem. Our 
formulation of network integrated information is based on the 
Kullback-Leibler divergence between the multivariate distribution on the 
set of network states versus the corresponding factorized distribution 
over its parts. We find that implementing the maximum information 
partition optimizes computations. These methods are well-suited for large 
networks with linear stochastic dynamics. We compute the integrated 
information for both, the system˙˙s attractor states, as well as 
non-stationary dynamical states of the network. We then apply this 
formalism to brain networks to compute the integrated information for the 
human brain˙˙s connectome. Compared to a randomly re-wired network, we 
find that the specific topology of the brain generates greater information 
complexity.


The global dynamical complexity of the human brain network
Xerxes D. Arsiwalla and Paul F. M. J. Verschure

Source: appliednetsci.springeropen.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6e0b047d81&e=55e25a0e3e)



Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

    There is a growing consensus that a fuller understanding of social 
cognition depends on more systematic studies of real-time social 
interaction. Such studies require methods that can deal with the complex 
dynamics taking place at multiple interdependent temporal and spatial 
scales, spanning sub-personal, personal, and dyadic levels of analysis. We 
demonstrate the value of adopting an extended multi-scale approach by 
re-analyzing movement time-series generated in a study of embodied dyadic 
interaction in a minimal virtual reality environment (a perceptual 
crossing experiment). Reduced movement variability revealed an 
interdependence between social awareness and social coordination that 
cannot be accounted for by either subjective or objective factors alone: 
it picks out interactions in which subjective and objective conditions are 
convergent (i.e., elevated coordination is perceived as clearly social, 
and impaired coordination is perceived as socially ambiguous). This 
finding is consistent with the claim that interpersonal interaction can be 
partially constitutive of direct social perception. Clustering statistics 
(Allan Factor) of salient events revealed fractal scaling. Complexity 
matching defined as the similarity between these scaling laws was 
significantly more pronounced in pairs of participants as compared to 
surrogate dyads. This further highlights the multi-scale and distributed 
character of social interaction and extends previous complexity matching 
results from dyadic conversation to non-verbal social interaction 
dynamics. Trials with successful joint interaction were also associated 
with an increase in local coordination. Consequently, a local coordination 
pattern emerges on the background of complex dyadic interactions in the 
PCE task and makes joint successful performance possible.


Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties
Leonardo Zapata-Fonseca, Dobromir Dotov, Ruben Fossion, and Tom Froese

Front. Psychol., 12 December 2016 | http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=c4b28aac39&e=55e25a0e3e

Source: journal.frontiersin.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=7add7fdd58&e=55e25a0e3e)



A Novel Procedure for Measuring Semantic Synergy

    One interesting characteristic of some complex systems is the formation 
of macro level constructions perceived as having features that cannot be 
reduced to their micro level constituents. This characteristic is 
considered to be the expression of synergy where the joint action of the 
constituents produces unique features that are irreducible to the 
constituents isolated behavior or their simple composition. The synergy, 
characterizing complex systems, has been well acknowledged but difficult 
to conceptualize and quantify in the context of computing the emerging 
meaning of various linguistic and conceptual constructs. In this paper, we 
propose a novel measure/procedure for quantifying semantic synergy. This 
measure draws on a general idea of synergy as has been proposed in 
biology. We validate this measure by providing evidence for its ability to 
predict the semantic transparency of linguistic compounds (Experiment 1) 
and the abstractness rating of nouns (Experiment 2).


A Novel Procedure for Measuring Semantic Synergy
Yair Neuman, Yiftach Neuman, and Yochai Cohen

Complexity
Volume 2017 (2017), Article ID 5785617, 8 pages
http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=c6c93326bb&e=55e25a0e3e

Source: www.hindawi.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6de14f4be8&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=285876a595&e=55e25a0e3e ) and using the "Suggest" button.
==============================================
==============================================

_____________________________________________________________________
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.

Top of Message | Previous Page | Permalink

Advanced Options


Options

Log In

Log In

Get Password

Get Password


Search Archives

Search Archives


Subscribe or Unsubscribe

Subscribe or Unsubscribe


Archives

December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008, Week 62
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
December 2006
November 2006
October 2006
September 2006
August 2006
July 2006
June 2006
May 2006
April 2006
March 2006
February 2006
January 2006
December 2005
November 2005
October 2005
September 2005
August 2005
July 2005
June 2005
May 2005
April 2005
March 2005
February 2005
January 2005
December 2004
November 2004
October 2004
September 2004
August 2004
July 2004
June 2004
May 2004
April 2004
March 2004
February 2004
January 2004
December 2003
November 2003
October 2003
September 2003
August 2003
July 2003
June 2003
May 2003
April 2003
March 2003
February 2003
January 2003
December 2002
November 2002
October 2002
September 2002
August 2002
July 2002
June 2002
May 2002
April 2002
March 2002
February 2002
January 2002
December 2001
November 2001
October 2001
September 2001
August 2001
July 2001
June 2001
May 2001

ATOM RSS1 RSS2



LISTS.UFL.EDU

CataList Email List Search Powered by the LISTSERV Email List Manager