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    A vision is just a vision if it's only in your head
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   NetLab Network                 FRSC                      INSNA Founder           twitter: @barrywellman
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman

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Date: Mon, 31 Oct 2016 19:04:37 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
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Subject: [utf-8] Latest Complexity Digest Posts

Learn about the latest and greatest related to complex systems research. More at

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: (

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: (

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
DOI: 10.1002/cplx.21841

Source: (

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: (

Conference on Complex Systems 2017: Cancun, Mexico

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: (

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: (

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: (

NetSci 2017

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 ( .

Proposals to run a full- or half-day satellite session before the main conference are due December 15, 2016 ( .

The NetSci conference is an annual meeting of the Network Science Society ( and is hosted this year by the Indiana University Network Science Institute ( (IUNI). If you have questions, contact us at [log in to unmask] (mailto:[log in to unmask]) .

Source: (

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 ( (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 ( 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.

Source: (

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: (

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: (

Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

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