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  February 2011

SOCNET February 2011

Subject:

today's Complexity Digest abstracts

From:

Barry Wellman <[log in to unmask]>

Reply-To:

Barry Wellman <[log in to unmask]>

Date:

Fri, 25 Feb 2011 16:39:47 -0500

Content-Type:

MULTIPART/MIXED

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (129 lines)

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

  Barry Wellman
  _______________________________________________________________________

   S.D. Clark Professor of Sociology, FRSC               NetLab Director
   Department of Sociology                  725 Spadina Avenue, Room 388
   University of Toronto   Toronto Canada M5S 2J4   twitter:barrywellman
   http://www.chass.utoronto.ca/~wellman             fax:+1-416-978-3963
   Updating history:      http://chass.utoronto.ca/oldnew/cybertimes.php
  _______________________________________________________________________

  Robustness and modular structure in networks , arXiv

Abstract: Many complex systems, from power grids and the internet, to the 
brain and society, can be modeled using modular networks. Modules, densely 
interconnected groups of elements, often overlap due to elements that 
belong to multiple modules. The elements and modules of these networks 
perform individual and collective tasks such as generating and consuming 
electrical load, transmitting data, or executing parallelized 
computations. We study the robustness of these systems to the failure of 
random elements. We show that it is possible for the modules themselves to 
become isolated or uncoupled (non-overlapping) well before the network 
falls apart. When modular organization is critical to overall 
functionality, networks may be far more vulnerable than expected. *

[12] Robustness and modular structure in networks, James P. Bagrow, Sune 
Lehmann, Yong-Yeol Ahn, 2011/02/24, arXiv:1102.5085 [12] 
http://arXiv.org/abs/1102.5085

_________________________________________________________________

10. Explosive Synchronization Transitions in Scale-free Networks , arXiv

Excerpt: The emergence of explosive collective phenomena has recently 
attracted much attention due to the discovery of an explosive percolation 
transition in complex networks. In this Letter, we demonstrate how an 
explosive transition shows up in the synchronization of complex 
heterogeneous networks by incorporating a microscopic correlation between 
the structural and the dynamical properties of the system.

* [14] Explosive Synchronization Transitions in Scale-free Networks, Jesus
Gomez-Gardenes, Sergio Gomez, Alex Arenas and Yamir Moreno, 2011/02/23,
arXiv:1102.4823
[14] http://arXiv.org/abs/1102.4823

_________________________________________________________________

12. General coevolution of topology and dynamics in networks , arXiv

Abstract: We present a general framework for the study of coevolution in 
dynamical systems. This phenomenon consists of the coexistence of two 
dynamical processes on networks of interacting elements: node state change 
and rewiring of links between nodes. The process of rewiring is described 
in terms of two basic actions: disconnection and reconnection between 
nodes, both based on a mechanism of comparison of their states. Different 
rewiring rules can be expressed in this scheme. We assume that each 
process, rewiring and node state change, occurs with its own probability, 
independently from the other. The collective behavior of a coevolutionary 
system is characterized in the space of parameters given by these two 
probabilities. As an application, for a voterlike node dynamics we find 
that reconnections between nodes with similar states lead to network 
fragmentation. The critical boundaries for the onset of fragmentation in 
networks with different properties are calculated on this space. We show 
that coevolution models correspond to curves on this space, describing 
coupling relations between the probabilities for the two processes. The 
occurrence of network fragmentation transitions are predicted for diverse 
models, and agreement is found with some earlier results.

* [16] General coevolution of topology and dynamics in networks, J.L. 
Herrera, M.G. Cosenza, K. Tucci, J.C. González-Avella, 2011/02/17, 
arXiv:1102.3467

[16] http://arXiv.org/abs/1102.3467
_________________________________________________________________

15. Prosperity is associated with instability in dynamical networks , 
arXiv

Abstract: Social, biological and economic networks evolve with recurrent 
fragmentation and re-formation, often explained in terms of external 
perturbations. We show that these phenomena can be a direct consequence of 
imitation and endogenous conflicts between 'cooperators' and 'defectors'. 
We employ a game-theoretic model of dynamic network formation, where 
prosperous individuals are more likely to be selected as role-models by 
newcomers who imitate their strategies and their connections. We find that 
cooperators promote well connected highly prosperous networks and 
defectors cause the network to fragment and lose its prosperity; defectors 
are unable to maintain the highly connected networks they invade. Once the 
network is fragmented, it can be reconstructed by a new invasion of 
cooperators. We observe that prosperity is associated with instability: 
cooperation is most productive when it is unstable.

* [20] Prosperity is associated with instability in dynamical networks, 
Matteo Cavaliere, Sean Sedwards, Corina E. Tarnita, Martin A. Nowak, 
Attila Csikász-Nagy, 2011/02/24, arXiv:1102.4947 [20] 
http://arXiv.org/abs/1102.4947

_________________________________________________________________

  15.01. Two wrongs do not make a right: The initial viability of different
assessment rules in the evolution of indirect reciprocity , Journal of
Theoretical Biology

Excerpt: Indirect reciprocity models are meant to correspond to primitive 
moral systems, in which individuals assess the interactions of third 
parties in order to condition their cooperative behavior [...] Here, I 
present a general analytical model of indirect reciprocity and show that 
the class of assessment rules which positively judges a refusal to help 
scofflaws cannot invade a population of defectors, whereas the other class 
can.

* [21] Two wrongs do not make a right: The initial viability of different
assessment rules in the evolution of indirect reciprocity, Panchanathan K,
February 2011, DOI: 10.1016/j.jtbi.2011.02.009, Journal of Theoretical 
Biology, in Press * Contributed by [22] Segismundo
[21] http://dx.doi.org/10.1016/j.jtbi.2011.02.009

_________________________________________________________________



_____________________________________________________________________
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

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