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Back from networking at the American Sociological Associatin

   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
   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  

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Date: Mon, 13 Aug 2018 11:01:49 +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

˙˙The Science of Success˙˙ Special Issue | Advances in Complex Systems

    The increasing availability of digital data on human activities has led 
to the emergence of computational social science, a research field at the 
interface of computer science, mathematical modeling and social sciences. 
Among the concepts that have attracted much attention, we find "success". 
The premise of a science of success rests on observing that a difference 
exists between performance and success: Performance, representing the 
totality of objectively measurable achievements in a certain domain of 
activity, like the publication record of a scientist or the winning record 
of an athlete or a team, captures the actions of an individual entity. In 
contrast, success, captured by fame, celebrity, popularity, impact or 
visibility, is a collective measure, representing a community's reaction 
to and acceptance of an individual entity's performance. The link between 
these two measures, while is often taken for granted, is actually far from 
being understood and often controversial.

Roberta Sinatra and Renaud Lambiotte

Advances in Complex Systems Vol. 21, No. 03n04, 1802001 (2018)

Source: (

Hot streaks in artistic, cultural, and scientific careers

The hot streak˙˙loosely defined as ˙˙winning begets more 
winnings˙˙˙˙highlights a specific period during which an individual˙˙s 
performance is substantially better than his or her typical performance. 
Although hot streaks have been widely debated in sports, gambling and 
financial markets over the past several decades, little is known about 
whether they apply to individual careers. Here, building on rich 
literature on the lifecycle of creativity, we collected large-scale career 
histories of individual artists, film directors and scientists, tracing 
the artworks, films and scientific publications they produced. We find 
that, across all three domains, hit works within a career show a high 
degree of temporal regularity, with each career being characterized by 
bursts of high-impact works occurring in sequence. We demonstrate that 
these observations can be explained by a simple hot-streak model, allowing 
us to probe quantitatively the hot streak phenomenon governing individual 
careers. We find this phenomemon to be remarkably universal across diverse 
domains: hot streaks are ubiquitous yet usually unique across different 
careers. The hot streak emerges randomly within an individual˙˙s sequence 
of works, is temporally localized, and is not associated with any 
detectable change in productivity. We show that, because works produced 
during hot streaks garner substantially more impact, the uncovered hot 
streaks fundamentally drive the collective impact of an individual, and 
ignoring this leads us to systematically overestimate or underestimate the 
future impact of a career. These results not only deepen our quantitative 
understanding of patterns that govern individual ingenuity and success, 
but also may have implications for identifying and nurturing individuals 
whose work will have lasting impact.

Hot streaks in artistic, cultural, and scientific careers
Lu Liu, Yang Wang, Roberta Sinatra, C. Lee Giles, Chaoming Song & Dashun Wang
Nature volume 559, pages 396˙˙399 (2018)

Source: (

Who would you share your funding with?

I want to see whether the wisdom of crowds does a better job than 
conventional grant review at supporting research, says Johan Bollen.

Source: (

Key Features of Turing Systems are Determined Purely by Network Topology

    Turing˙˙s theory of pattern formation is a universal model for 
self-organization, applicable to many systems in physics, chemistry, and 
biology. Essential properties of a Turing system, such as the conditions 
for the existence of patterns and the mechanisms of pattern selection, are 
well understood in small networks. However, a general set of rules 
explaining how network topology determines fundamental system properties 
and constraints has not been found. Here we provide a first general theory 
of Turing network topology, which proves why three key features of a 
Turing system are directly determined by the topology: the type of 
restrictions that apply to the diffusion rates, the robustness of the 
system, and the phase relations of the molecular species.

Key Features of Turing Systems are Determined Purely by Network Topology

Xavier Diego, Luciano Marcon, Patrick Müller, and James Sharpe
Phys. Rev. X 8, 021071

Source: (

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

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