***** To join INSNA, visit http://www.insna.org *****
for your thinking pleasure
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
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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
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Date: Mon, 31 Oct 2016 19:04:37 +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=9cab461e05&e=55e25a0e3e
Social norms as solutions
Climate change, biodiversity loss, antibiotic resistance, and other
global challenges pose major collective action problems: A group benefits
from a certain action, but no individual has sufficient incentive to act
alone. Formal institutions, e.g., laws and treaties, have helped address
issues like ozone depletion, lead pollution, and acid rain. However,
formal institutions are not always able to enforce collectively desirable
outcomes. In such cases, informal institutions, such as social norms, can
be important. If conditions are right, policy can support social norm
changes, helping address even global problems. To judge when this is
realistic, and what role policy can play, we discuss three crucial
questions: Is a tipping point likely to exist, such that vicious cycles of
socially damaging behavior can potentially be turned into virtuous ones?
Can policy create tipping points where none exist? Can policy push the
system past the tipping point?
Social norms as solutions
Karine Nyborg, John M. Anderies, Astrid Dannenberg, Therese Lindahl, Caroline Schill, Maja Schlüter, W. Neil Adger, Kenneth J. Arrow, Scott Barrett, Stephen Carpenter, F. Stuart Chapin III, Anne-Sophie Crépin, Gretchen Daily, Paul Ehrlich, Carl Folke, Wander Jager, Nils Kautsky, Simon A. Levin, Ole Jacob Madsen, Stephen Polasky, Marten Scheffer, Brian Walker, Elke U. Weber, James Wilen, Anastasios Xepapadeas, Aart de Zeeuw
Science 07 Oct 2016:
Vol. 354, Issue 6308, pp. 42-43
DOI: 10.1126/science.aaf8317
Source: science.sciencemag.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=3e75f06195&e=55e25a0e3e)
Sensitivity of Complex Networks
The sensitivity (i.e. dynamic response) of complex networked systems
has not been well understood, making difficult to predict whether new
macroscopic dynamic behavior will emerge even if we know exactly how
individual nodes behave and how they are coupled. Here we build a
framework to quantify the sensitivity of complex networked system of
coupled dynamic units. We characterize necessary and sufficient conditions
for the emergence of new macroscopic dynamic behavior in the thermodynamic
limit. We prove that these conditions are satisfied only for architectures
with power-law degree distributions. Surprisingly, we find that highly
connected nodes (i.e. hubs) only dominate the sensitivity of the network
up to certain critical frequency.
Sensitivity of Complex Networks
Marco Tulio Angulo, Gabor Lippner, Yang-Yu Liu, Albert-László Barabási
Source: arxiv.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=936de325c6&e=55e25a0e3e)
How complexity originates: Examples from history reveal additional roots to complexity
Most scientists will characterize complexity as the result of one or
more factors out of three: (i) high dimensionality, (ii) interaction
networks, and (iii) nonlinearity. High dimensionality alone need not give
rise to complexity. The best known cases come from linear algebra: To
determine the eigenvalues and eigenvectors of a large quadratic matrix,
for example, is complicated but not complex. Every mathematician,
physicist or economist, and most scholars from other disciplines can write
down an algorithm that would work provided infinite resources in computer
time and storage space are given. (...)
How complexity originates: Examples from history reveal additional roots to complexity
Peter Schuster
Complexity
DOI: 10.1002/cplx.21841
Source: onlinelibrary.wiley.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=c8b4a8655e&e=55e25a0e3e)
Why I know but don˙˙t believe
Despite extensive efforts at public science education, polling over the
past 30 years has consistently shown that about 40 to 45% of Americans
believe that humans were supernaturally created in the past 10,000 years
(1). A natural interpretation of this finding is that U.S. science
education is failing to reach nearly half of the population, and that
widespread belief in recent human origins reflects basic scientific
illiteracy. However, the reality is more complex (2): Many of those who
reject evolutionary theory are aware of the scientific consensus on the
subject, and such rejection is not always associated with low scientific
literacy. Similar results have been found for beliefs regarding
anthropogenic climate change (3). On page 321 of this issue, Friedkin et
al. (4) provide a key step toward understanding this phenomenon by
introducing a simple family of models for social influence among
individuals with multiple, interdependent beliefs.
Why I know but don't believe
Carter T. Butts
Science 21 Oct 2016:
Vol. 354, Issue 6310, pp. 286-287
DOI: 10.1126/science.aaj1817
Source: science.sciencemag.org (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=b86d3fb6cf&e=55e25a0e3e)
Conference on Complex Systems 2017: Cancun, Mexico
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=ac281f268f&e=55e25a0e3e
The scientific study of complex systems offers a method for understanding how elements interact to give rise to global properties, while at the same time these properties constrain elements. Bringing together scholars and students from all fields, the Conference on Complex Systems will convene in September 17-22, 2017 in Latin America for the first time.
Source: ccs17.unam.mx (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=bd3daf7426&e=55e25a0e3e)
International Conference on Computational Social Science
The 3rd Annual International Conference on Computational Social Science (IC2S2 2017) is an interdisciplinary event designed to engage a broad community of researchers ˙˙ academics, industry experts, open data activists, government agency workers, and think tank analysts ˙˙ dedicated to advancing social science knowledge through computational methods. IC2S2 2017 affords the opportunity to meet and discuss works in which social systems and dynamics are investigated in a quantitative way through large datasets that are either mined from various sources (e.g. social media, communication systems), or created via controlled experiments or computational modeling.
After successful events in Helsinki 2015 and Evanston, IL 2016, the 3rd IC2S2 will take place in Cologne, Germany on July 10-13.
Source: ic2s2.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=11c322f0fb&e=55e25a0e3e)
Evidence of Shared Aspects of Complexity Science and Quantum Phenomena
Complexity science concepts of emergence, self-organization, and
feedback suggest that descriptions of systems and events are subjective,
incomplete, and impermanent-similar to what we observe in quantum
phenomena. Complexity science evinces an increasingly compelling
alternative to reductionism for describing physical phenomena, now that
shared aspects of complexity science and quantum phenomena are being
scientifically substantiated. Establishment of a clear connection between
chaotic complexity and quantum entanglement in small quantum systems
indicates the presence of common processes involved in thermalization in
large and small-scale systems. Recent findings in the fields of quantum
physics, quantum biology, and quantum cognition demonstrate evidence of
the complexity science characteristics of sensitivity to initial
conditions and emergence of self-organizing systems. Efficiencies in
quantum superposition suggest a new paradigm in which our very notion of
complexity depends on which information theory we choose to employ.
Evidence of Shared Aspects of Complexity Science and Quantum Phenomena
Cynthia Larson
Cosmos and History: The Journal of Natural and Social Philosophy, Vol 12, No 2 (2016)
Source: cosmosandhistory.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=66d0656406&e=55e25a0e3e)
NetSci 2017
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=de947a4dd2&e=55e25a0e3e
NetSci 2017 aims to bring together leading researchers and practitioners working in the emerging area of network science. The conference fosters interdisciplinary communication and collaboration in network science research across computer and information sciences, physics, mathematics, statistics, the life sciences, neuroscience, environmental sciences, social sciences, finance and business, arts and design.
NetSci 2017 is a combination of:
* Satellite Symposia (June 19 & 20)
* An International School for students and non-experts (June 19 & 20), and
* A 3-day Conference (June 21-23) featuring research in a wide range of topics and in different formats, including keynote and invited talks, oral presentations, posters, and lightning talks.
Abstracts for oral presentations, lightning talks, and posters are due January 15, 2017. Please read more details in the call. The Easy Chair submission portal will open by November 1 for submissions and will be located on this page (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=ae9d0edb88&e=55e25a0e3e) .
Proposals to run a full- or half-day satellite session before the main conference are due December 15, 2016 (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=504f3120d5&e=55e25a0e3e) .
The NetSci conference is an annual meeting of the Network Science Society (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=47c682c67d&e=55e25a0e3e) and is hosted this year by the Indiana University Network Science Institute (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=7447c1995b&e=55e25a0e3e) (IUNI). If you have questions, contact us at [log in to unmask] (mailto:[log in to unmask]) .
Source: netsci2017.net (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=e5e67d9b49&e=55e25a0e3e)
Complexity, Criticality and Computation (C3) Research Camp 2016 ˙˙ Complex Systems ˙˙ The University of Sydney
This week-long research camp explores the importance of studying complex systems. It will be organised by the University's Centre for Complex Systems (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=5a233831f4&e=55e25a0e3e) (CCS), and co-hosted by the University's Charles Perkins Centre (CPC).
During this event we will consider a diverse range of systems, applications, theoretical and practical approaches to computational modelling of modern complex systems, including information theory, agent-based simulation, network theory, nonlinear dynamics, swarm intelligence, evolutionary methods, computational neuroscience, and econophysics. The program will include a number of three-hour tutorials, delivered by complex systems experts, from our own Master of Complex Systems program (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=46d3b44bba&e=55e25a0e3e) and overseas.
When: 9am - 5pm, 30 November (Wed) - 6 December (Tue), 2016
Where: Charles Perkins Centre Seminar Rooms, The University of Sydney
Cost: Free
Registration: Please email Mikhail Prokopenko (mailto:[log in to unmask]) with your name and affiliation, by Nov 16.
http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=e1fee4b240&e=55e25a0e3e
Source: sydney.edu.au (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=8e9b6cdb6a&e=55e25a0e3e)
Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics
˙˙ A multimodel agent-based simulation environment (PULSE) is presented.
˙˙ Model integration techniques suggested: common space and commonly controlled agents.
˙˙ Crowd pressure metrics for simulating crushing and asphyxia in crowds are proposed.
˙˙ Simulations of evacuation from cinema building to the city streets are carried out.
Multimodel agent-based simulation environment for mass-gatherings and pedestrian dynamics
Vladislav Karbovskii, Daniil Voloshin, Andrey Karsakov, Alexey Bezgodov, Carlos Gershenson
Future Generation Computer Systems
Source: www.sciencedirect.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=dc056d74ec&e=55e25a0e3e)
NECSI Courses in Complexity
Winter Session 2017
Dates: January 2 - 13
Location: MIT, Cambridge, MA
Week 1: January 2-6 CX201: Complex Physical, Biological and Social Systems
Lab: January 8 CX102: Computer Programming and Complex Systems
Week 2: January 9-13 CX202: Data Analytics, Complex Systems Modeling, and Networks.
Source: www.necsi.edu (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=2c702f575e&e=55e25a0e3e)
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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=f58e2a1f9e&e=55e25a0e3e ) and using the "Suggest" button.
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