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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
Updating history: http://chass.utoronto.ca/oldnew/cybertimes.php
Nicholas Christakis: How social networks predict epidemics , TED.com
About this talk: After mapping humans' intricate social networks, Nicholas
Christakis and colleague James Fowler began investigating how this
information could better our lives. Now, he reveals his hot-off-the-press
findings: These networks can be used to detect epidemics earlier than
ever, from the spread of innovative ideas to risky behaviors to viruses
*  Nicholas Christakis: How social networks predict epidemics,
* VIDEO -  Watch this talk
05.01. Steven Johnson: Where good ideas come from , TED.com
About this talk: People often credit their ideas to individual "Eureka!"
moments. But Steven Johnson shows how history tells a different story. His
fascinating tour takes us from the "liquid networks" of London's coffee
houses to Charles Darwin's long, slow hunch to today's high-velocity web.
*  Steven Johnson: Where good ideas come from, 2010/09, TED.com
* VIDEO -  Watch this talk
Peer-Review in a World with Rational Scientists: Toward Selection of the
Average , SFI Working Papers
Excerpt: One of the virtues of peer review is that it provides a
self-regulating selection mechanism for scientific work, papers and
projects. Peer review as a selection mechanism is hard to evaluate in
terms of its efficiency. Serious efforts to understand its strengths and
weaknesses have not yet lead to clear answers. In theory peer review works
if the involved parties (editors and referees) conform to a set of
requirements, such as love for high quality science, objectiveness, and
absence of biases, nepotism, friend and clique networks, selfishness, etc.
If these requirements are violated, what is the effect on the selection of
high quality work? We study this question with a simple agent based model.
In particular we are interested in the effects of rational referees, who
might not have any incentive to see high quality work other than their own
published or promoted. We find that a small fraction of incorrect (selfish
or rational) referees can drastically reduce the quality of the published
(accepted) scientific standard.
*  Peer-Review in a World with Rational Scientists: Toward Selection
of the Average, Stefan Thurner, Rudolf Hanel, DOI: SFI-WP 10-09-016, SFI
Line graphs of weighted networks for overlapping communities , Eur. Phys.
Abstract: In this paper, we develop the idea to partition the edges of a
weighted graph in order to uncover overlapping communities of its nodes.
Our approach is based on the construction of different types of weighted
line graphs, i.e. graphs whose nodes are the links of the original graph,
that encapsulate differently the relations between the edges. Weighted
line graphs are argued to provide an alternative, valuable representation
of the system's topology, and are shown to have important applications in
community detection, as the usual node partition of a line graph naturally
leads to an edge partition of the original graph. This identification
allows us to use traditional partitioning methods in order to address the
long-standing problem of the detection of overlapping communities. We
apply it to the analysis of different social and geographical networks.
*  Line graphs of weighted networks for overlapping communities, T. S.
Evans and R. Lambiotte, 2010/09/13, DOI: 10.1140/epjb/e2010-00261-8, Eur.
Phys. J. B
Adaptive network models of swarm dynamics , arXiv
Abstract: A simple adaptive network model describing recent swarming
experiments is introduced. By exploiting an analogy with human
decision-making models, its dynamics is captured using a low-dimensional
system of equations permitting analytical investigation. The model
reproduces several characteristic features of swarms, including:
spontaneous symmetry breaking, noise- and density-driven order-disorder
transitions that can be of first or second order, intermittency, and
metastable configurations displaying memory effects. By considering only
minimal components of the swarming dynamics, it highlights the essential
elements required to reproduce the observed behavior.
*  Adaptive network models of swarm dynamics, Cristián Huepe, Gerd
Zschaler, Anne-Ly Do, Thilo Gross, 2010/09/13, arXiv:1009.2349
. Econophysics and Companies: Statistical Life and Death in Complex
Business Networks , Cambridge University Press
Summary: Econophysics is an emerging interdisciplinary field that takes
advantage of the concepts and methods of statistical physics to analyse
economic phenomena. This book expands the explanatory scope of
econophysics to the real economy by using methods from statistical physics
to analyse the success and failure of companies. Using large data sets of
companies and income-earners in Japan and Europe, the authors show how
these methods allow us to analyse companies, from huge corporations to
small firms. They then show how successful this approach is in explaining
a wide range of recent findings relating to the dynamics of companies.
*  Econophysics and Companies: Statistical Life and Death in Complex
Business Networks, Hideaki Aoyama et al., 2010/09/15, Cambridge University
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