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  September 2018

SOCNET September 2018

Subject:

selected Latest Complexity Digest Posts (fwd)

From:

Barry Wellman <[log in to unmask]>

Reply-To:

Barry Wellman <[log in to unmask]>

Date:

Mon, 3 Sep 2018 09:28:33 -0400

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (194 lines)

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

Are you Labouring on Labour Day?
We just finished a lovely paper on Networked Individualism in East York
And the folks below have been busy too

Publishing gods be kind

   Barry Wellman

   Step by step, link by link, putting it together--Streisand/Sondheim
        The earth to be spannd, connected by network--Walt Whitman
              It's Always Something--Roseanne Roseannadanna
  _______________________________________________________________________
   NetLab Network      			                            FRSC
   Distinguished Visiting Scholar   Social Media Lab   Ryerson University
         Founder, International Network for Social Network Analysis
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman
   https://urldefense.proofpoint.com/v2/url?u=http-3A__www.chass.utoronto.ca_-7Ewellman&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=hRBTz98Gcc6fJ8VLZYPYTk0QSMwk54FDwsmoxd5LuC0&e=            https://urldefense.proofpoint.com/v2/url?u=http-3A__amzn.to_zXZg39&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=QXUSBslZ3UIJUTB6t21TzKQz2ipUFcSFldsnFsCBcnY&e=
              https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Barry-5FWellman&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=K_2j4Zost9uccMeyZUfo0Hkh1uMgfdS0cknnofot11o&e=
   _______________________________________________________________________


---------- Forwarded message ----------
Date: Mon, 3 Sep 2018 11:03:43 +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 https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dafc731d139-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=PszrbBMRii3CbITcWkP49KEbf_T9Kej46J8aNKEfz8s&e=



Architecture and design for resilient networked systems

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Def0ebf916c-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=C67_AAyOfN94HsNuA9JaqGY5Ib4bxJzgm47FGjzQdZ4&e=

There is a need for new architectures and designs of resilient networked systems that are capable of supporting critical services and infrastructures. The arguments have previously been well rehearsed, but much remains to be done, not least to demonstrate the feasibility of building such systems.

Key among the remaining challenges is how to specify and realise appropriate components that interact with each other to produce a resulting resilient system. This paper reviews the state of the art, describes recent contributions, and looks ahead to future research and prospects.


Architecture and design for resilient networked systems
David Hutchison, James P.G.Sterbenz

Computer Communications

Source: www.sciencedirect.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D1dae9ebcdd-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=izMb2ZdmGgvRG3PdatxZrMpp714tt9Bo39nz5eQTysY&e=)



Geometrical effects on mobility

    In this paper we analyze the effect of randomly deleting streets of a 
synthetic city on the statistics of displacements. Our city is constituted 
initially by a set of streets that form a regular tessellation of the 
euclidean plane. Therefore we will have three types of cities, formed by 
squares, triangles or hexagons. We studied the complementary cumulative 
distribution function for displacements (CCDF). For the whole set of 
streets the CCDF is a stretched exponential, and as streets are deleted 
this function becomes a linear function and then two clear different 
exponentials. This behavior is qualitatively the same for all the 
tessellations. Most of this functions has been reported in the literature 
when studying the displacements of individuals based on cell data 
trajectories and GPS information. However, in the light of this work, the 
appearance of different functions for displacements CCDF can be attributed 
to the connectivity of the underlying street network. It is remarkably 
that for some proportion of streets we got a linear function for such 
function, and as far as we know this behavior has not been reported nor 
considered. Therefore, it is advisable to analyze experimental in the 
light of connectivity of the street network to make correlations with the 
present work.


Geometrical effects on mobility
Jorge H. Lopez

Source: arxiv.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D87b1db8a80-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=Gza7J_6LkvB1WcyIdCgYrRUyngOcNROgfLtIj0PEay4&e=)



On the networked architecture of genotype spaces and its critical effects on molecular evolution

    Evolutionary dynamics is often viewed as a subtle process of change accumulation that causes a divergence among organisms and their genomes. However, this interpretation is an inheritance of a gradualistic view that has been challenged at the macroevolutionary, ecological and molecular level. Actually, when the complex architecture of genotype spaces is taken into account, the evolutionary dynamics of molecular populations becomes intrinsically non-uniform, sharing deep qualitative and quantitative similarities with slowly driven physical systems: nonlinear responses analogous to critical transitions, sudden state changes or hysteresis, among others. Furthermore, the phenotypic plasticity inherent to genotypes transforms classical fitness landscapes into multiscapes where adaptation in response to an environmental change may be very fast. The quantitative nature of adaptive molecular processes is deeply dependent on a network-of-networks multilayered structure of the map from
genotype to function that we begin to unveil.


On the networked architecture of genotype spaces and its critical effects on molecular evolution
Jacobo Aguirre, Pablo Catalán, José A. Cuesta, Susanna Manrubia

Open Biology

Published 4 July 2018.DOI: 10.1098/rsob.180069

Source: rsob.royalsocietypublishing.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Df1e099a3a3-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=IEWABbtwl1oAJCGBZdzYViIeYQD8YMiVsuSC742td7U&e=)



The Wisdom and/or Madness of Crowds

    https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Ddbd5a9462e-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=syJqHYwuM-PVApqXrdeVGc8m1RqDA4JECXqPt587fyw&e=

an interactive guide to human networks

Source: ncase.me (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3Dc94dc75604-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=a3W8XJwJCe21MrudFnm4UdEkedaU6zOSyrM1BK3o-Tg&e=)

Social transmission in networks: global efficiency peaks with intermediate levels of modularity

    In myriad biological systems, multiple lines of evidence indicate that 
modularity, wherein parts of a network are organized into modules such as 
subgroups in animal networks, may affect social transmission processes. In 
animal societies, there is increased interest in understanding variation 
in the effects of modularity on transmission as it may provide important 
insight into a given network˙˙s performance, in addition to the 
evolutionary consequences the structure of the network may have for 
individual fitness. Yet, to our knowledge, the degree to which network 
efficiency is modularity dependent has not yet been investigated in great 
detail in behavioral and evolutionary ecology. Here, we investigated to 
what degree network efficiency, as a proxy for social transmission, is 
modularity dependent. We created 2798 networks varying in group size and 
density, and tested whether network structure (density, Newman˙˙s 
modularity, eigenvector centralization) and group size shape network 
efficiency. We also used published data from 41 primate social networks to 
test whether the predictions generated in our simulations were supported 
by empirical observations. Our results show a non-linear relationship 
between modularity and global efficiency, with the latter peaking at 
intermediate values of modularity in both theoretical and empirical 
networks. This phenomenon may have relevance for observed variation in 
social structure and its link with network performance. Our results may 
thus provide a basis from which to discuss the evolution of complex 
systems such as animal societies.


Social transmission in networks: global efficiency peaks with intermediate levels of modularity

Valéria Romano, Mengyu Shen, Jérôme Pansanel, Andrew J. J. MacIntosh

Behavioral Ecology and Sociobiology
September 2018, 72:154

Source: link.springer.com (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D711dd2bea8-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=NDRQB_fq581xoIliGl2RxN9mli4y-U0iJpIqwuLbkSs&e=)



The first global trading network

    Little is known about the structural patterns and dynamics of the first 
global trading market (FGTM), which emerged during the sixteenth century 
as a result of the Iberian expansion, let alone how it compares to today's 
global financial markets. Here we build a representative network of the 
FGTM using information contained in 8725 (handwritten) Bills of Exchange 
from that time˙˙which were (human) interpreted and digitalized into an 
online database. We show that the resulting temporal network exhibits a 
hierarchical, highly clustered and disassortative structure, with a 
power-law dependence on the connectivity that remains remarkably robust 
throughout the entire period investigated. Temporal analysis shows that, 
despite major turnovers in the number and nature of the links˙˙suggesting 
fast adaptation in response to the geopolitical and financial turmoil 
experienced at the time˙˙the overall characteristics of the FGTM remain 
robust and virtually unchanged. The methodology developed here 
demonstrates the possibility of building and analysing complex trading and 
finance networks originating from pre-statistical eras, enabling us to 
highlight the striking similarities between the structural patterns of 
financial networks separated by centuries in time.


Structural and temporal patterns of the first global trading market
Ana Sofia Ribeiro, Flávio L. Pinheiro, Francisco C. Santos, Amélia Polónia, Jorge M. Pacheco

Royal Society Open Science
Published 22 August 2018.DOI: 10.1098/rsos.180577

Source: rsos.royalsocietypublishing.org (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D8539097cfa-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=qEc3Xi9zLc9L0v6sXBeozMtNmFEYeCqdQBC0IY0-KW4&e=)


==============================================
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 (https://urldefense.proofpoint.com/v2/url?u=https-3A__unam.us4.list-2Dmanage.com_track_click-3Fu-3D0eb0ac9b4e8565f2967a8304b-26id-3D6f6cc93c83-26e-3D55e25a0e3e&d=DwIFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=hYE9-0b72tjOMzSBRrKiRAHPutWXrmF6JG74YwsbjMs&s=OOImJlFJksE0GMNSMc5zJzBB2hKRnV4qaiEw4n3sQM0&e= ) 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

November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
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