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   Barry Wellman

   Step by step, link by link, putting it together--Streisand/Sondheim
        The earth to be spannd, connected by network--Walt Whitman
              It's Always Something--Roseanne Roseannadanna

              A day like all days, filled with those events
          that alter and illuminate our times--Walter Cronkite
   NetLab Network      			                            FRSC
   Distinguished Visiting Scholar   Social Media Lab   Ryerson University
         Founder, International Network for Social Network Analysis
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman  

---------- Forwarded message ----------
Date: Mon, 4 Mar 2019 12:05:46 +0000
From: "[utf-8] Complexity Digest" <[log in to unmask]>
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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

Emergence: How Complex Wholes Emerge From Simple Parts

Throughout nature, throngs of relatively simple elements can self-organize into behaviors that seem unexpectedly complex. Scientists are beginning to understand why and how these phenomena emerge without a central organizing entity.

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The Human Generosity Project

The Human Generosity Project is the first large-scale transdisciplinary research project to investigate the interrelationship between biological and cultural influences on human generosity. We use multiple methodologies to understand the nature and evolution of human generosity including fieldwork, laboratory experiments and computational modeling.

Source: (

[BW: Little known fact: In the 1950s, Pitirim Sorokin at Harvard ran an 
Altruism project, with Charles Tilly as his RA]

A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models

    Antifragility is a property to not only resist stress and but also to benefit from it. Even though antifragile dynamics are found in various real-world complex systems where multiple subsystems interact with each other, the attribute has not been quantitatively explored yet in those complex systems which can be regarded as multilayer networks. Here we study how the multilayer structure affects the antifragility of the whole system. By comparing single-layer and multilayer Boolean networks based on our recently proposed antifragility measure, we found that the multilayer structure facilitated the production of antifragile systems. Our measure and findings can be utilized for many applications from understanding properties of biological systems with multilayer structures to designing more antifragile engineered systems.

A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models
Hyobin Kim, Omar K. Pineda, Carlos Gershenson

Source: (

SFI Community Lecture ˙˙ Danielle Bassett ˙˙ Networks Thinking Themselves

Source: (

Controlling systemic risk ˙˙ network structures that minimize it and node properties to calculate it

    Evaluation of systemic risk in networks of financial institutions in general requires information of inter-institution financial exposures. In the framework of Debt Rank algorithm, we introduce an approximate method of systemic risk evaluation which requires only node properties, such as total assets and liabilities, as inputs. We demonstrate that this approximation captures a large portion of systemic risk measured by Debt Rank. Furthermore, using Monte Carlo simulations, we investigate network structures that can amplify systemic risk. Indeed, while no topology in general sense is a priori more stable if the market is liquid, a larger complexity is detrimental for the overall stability. Here we find that the measure of scalar assortativity correlates well with level of systemic risk. In particular, network structures with high systemic risk are scalar assortative, meaning that risky banks are mostly exposed to other risky banks. Network structures with low systemic risk are
scalar disassortative, with interactions of risky banks with stable banks.

Controlling systemic risk - network structures that minimize it and node properties to calculate it
Sebastian M. Krause, Hrvoje ˙˙tefan˙˙i˙˙, Vinko Zlati˙˙, Guido Caldarelli

Source: (

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Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

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