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torn myself away from Las Vegas to do this :)

   Barry Wellman

    A vision is just a vision if it's only in your head
    Step by step, link by link, putting it together
    The earth to be spannd, connected by network -- Walt Whitman
        It's Always Something -- Roseanne Roseannadanna
   NetLab Network                 FRSC                      INSNA Founder
   Distinguished Visiting Scholar   Social Media Lab   Ryerson University
   Distinguished Senior Advisor     	     University Learning Academy
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman  

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Date: Mon, 29 Jan 2018 12:02:44 +0000
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Subject: [utf-8] Latest Complexity Digest Posts

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

Scale-free networks are rare

    A central claim in modern network science is that real-world networks are typically "scale free," meaning that the fraction of nodes with degree k follows a power law, decaying like k^    , often with 2

Scale-free networks are rare
Anna D. Broido, Aaron Clauset

Source: (

See Also:

Twitter discussion, including Aaron Clauset, Laszlo Barabasi, Alex Vespignani, Duncan Watts, Stefano Zapperi, Petter Holme, Gabor Vattay, et al.

Blog post by Petter Holme

Digital epidemiology: what is it, and where is it going?

    Digital Epidemiology is a new field that has been growing rapidly in the past few years, fueled by the increasing availability of data and computing power, as well as by breakthroughs in data analytics methods. In this short piece, I provide an outlook of where I see the field heading, and offer a broad and a narrow definition of the term.

Digital epidemiology: what is it, and where is it going?
Marcel SalathÚ

Life Sciences, Society and Policy
December 2018, 14:1

Source: (

Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization

    Do human societies from around the world exhibit similarities in the way that they are structured and show commonalities in the ways that they have evolved? To address these long-standing questions, we constructed a database of historical and archaeological information from 30 regions around the world over the last 10,000 years. Our analyses revealed that characteristics, such as social scale, economy, features of governance, and information systems, show strong evolutionary relationships with each other and that complexity of a society across different world regions can be meaningfully measured using a single principal component of variation. Our findings highlight the power of the sciences and humanities working together to rigorously test hypotheses about general rules that may have shaped human history.

Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization
Peter Turchin, Thomas E. Currie, Harvey Whitehouse, Pieter Franšois, Kevin Feeney, Daniel Mullins, Daniel Hoyer, Christina Collins, Stephanie Grohmann, Patrick Savage, Gavin Mendel-Gleason, Edward Turner, Agathe Dupeyron, Enrico Cioni, Jenny Reddish, Jill Levine, Greine Jordan, Eva Brandl, Alice Williams, Rudolf Cesaretti, Marta Krueger, Alessandro Ceccarelli, Joe Figliulo-Rosswurm, Po-Ju Tuan, Peter Peregrine, Arkadiusz Marciniak, Johannes Preiser-Kapeller, Nikolay Kradin, Andrey Korotayev, Alessio Palmisano, David Baker, Julye Bidmead, Peter Bol, David Christian, Connie Cook, Alan Covey, Gary Feinman, ┴rni DanÝel J˙lÝusson, Axel Kristinsson, John Miksic, Ruth Mostern, Cameron Petrie, Peter Rudiak-Gould, Barend ter Haar, Vesna Wallace, Victor Mair, Liye Xie, John Baines, Elizabeth Bridges, Joseph Manning, Bruce Lockhart, Amy Bogaard and Charles Spencer
PNAS 2017; published ahead of print December 21, 2017,

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The role of gender in social network organization

The digital traces we leave behind when engaging with the modern world offer an interesting lens through which we study behavioral patterns as expression of gender. Although gender differentiation has been observed in a number of settings, the majority of studies focus on a single data stream in isolation. Here we use a dataset of high resolution data collected using mobile phones, as well as detailed questionnaires, to study gender differences in a large cohort. We consider mobility behavior and individual personality traits among a group of more than 800 university students. We also investigate interactions among them expressed via person-to-person contacts, interactions on online social networks, and telecommunication. Thus, we are able to study the differences between male and female behavior captured through a multitude of channels for a single cohort. We find that while the two genders are similar in a number of aspects, there are robust deviations that include multiple
facets of social interactions, suggesting the existence of inherent behavioral differences. Finally, we quantify how aspects of an individual  s characteristics and social behavior reveals their gender by posing it as a classification problem. We ask: How well can we distinguish between male and female study participants based on behavior alone? Which behavioral features are most predictive?

Psylla I, Sapiezynski P, Mones E, Lehmann S (2017) The role of gender in social network organization. PLoS ONE 12(12): e0189873.

Source: (

Detecting reciprocity at a global scale

    Reciprocity stabilizes cooperation from the level of microbes all the way up to humans interacting in small groups, but does reciprocity also underlie stable cooperation between larger human agglomerations, such as nation states? Famously, evolutionary models show that reciprocity could emerge as a widespread strategy for achieving international cooperation. However, existing studies have only detected reciprocity-driven cooperation in a small number of country pairs. We apply a new method for detecting mutual influence in dynamical systems to a new large-scale data set that records state interactions with high temporal resolution. Doing so, we detect reciprocity between many country pairs in the international system and find that these reciprocating country pairs exhibit qualitatively different cooperative dynamics when compared to nonreciprocating pairs. Consistent with evolutionary theories of cooperation, reciprocating country pairs exhibit higher levels of stable
cooperation and are more likely to punish instances of noncooperation. However, countries in reciprocity-based relationships are also quicker to forgive single acts of noncooperation by eventually returning to previous levels of mutual cooperation. By contrast, nonreciprocating pairs are more likely to exploit each other  s cooperation via higher rates of defection. Together, these findings provide the strongest evidence to date that reciprocity is a widespread mechanism for achieving international cooperation.

Detecting reciprocity at a global scale
Morgan R. Frank, Nick Obradovich, Lijun Sun, Wei Lee Woon, Brad L. LeVeck and Iyad Rahwan,
Science Advances  03 Jan 2018:
Vol. 4, no. 1, eaao5348
DOI: 10.1126/sciadv.aao5348

Source: (

Thinking Fast and Slow on Networks: Co-evolution of Cognition and Cooperation in Structured Populations

    Spatial structure is one of the most studied mechanisms in evolutionary 
game theory. Here, we explore the consequences of spatial structure for a 
question which has received considerable empirical and theoretical 
attention in recent years, but has not yet been studied from a network 
perspective: whether cooperation relies on intuitive predispositions or 
deliberative self-control. We examine this question using a model which 
integrates the   dual-process   framework from cognitive science with 
evolutionary game theory, and considers the evolution of agents who are 
embedded within a social network and only interact with their neighbors. 
In line with past work in well-mixed populations, we find that selection 
favors either the intuitive defector (ID) strategy which never 
deliberates, or the dual-process cooperator (DC) strategy which 
intuitively cooperates but uses deliberation to switch to defection in 
Prisoner  s Dilemma games. We find that sparser networks (i.e. smaller 
average degree) facilitate the success of DC over ID, while also reducing 
the level of deliberation that DC agents engage in; and that these results 
generalize across different kinds of networks. These observations 
demonstrate the important role that spatial structure can have not just on 
the evolution of cooperation, but on the co-evolution of cognition and 

Source: (

Mediterranean School of Complex Networks 2018

In the last decade, network theory has been revealed to be a perfect instrument to model the structure of complex systems and the dynamical process they are involved into. The wide variety of applications to social sciences, technological networks, biology, transportation and economic, to cite just only some of them, showed that network theory is suitable to provide new insights into many problems.
Given the success of the Fourth Edition in 2017 of the Mediterranean School of Complex Networks, we call for applications to the Fifth Edition in 2018.

Salina, Sicily   1 Sep - 8 Sep 2018

Source: (

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

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