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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  

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Date: Mon, 17 Dec 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

The chaperone effect in scientific publishing

    Experience plays a critical role in crafting high-impact scientific 
work. This is particularly evident in top multidisciplinary journals, 
where a scientist is unlikely to appear as senior author if he or she has 
not previously published within the same journal. Here, we develop a 
quantitative understanding of author order by quantifying this ˙˙chaperone 
effect,˙˙ capturing how scientists transition into senior status within a 
particular publication venue. We illustrate that the chaperone effect has 
a different magnitude for journals in different branches of science, being 
more pronounced in medical and biological sciences and weaker in natural 
sciences. Finally, we show that in the case of high-impact venues, the 
chaperone effect has significant implications, specifically resulting in a 
higher average impact relative to papers authored by new principal 
investigators (PIs). Our findings shed light on the role played by 
experience in publishing within specific scientific journals, on the paths 
toward acquiring the necessary experience and expertise, and on the skills 
required to publish in prestigious venues.

The chaperone effect in scientific publishing
Vedran Sekara, Pierre Deville, Sebastian E. Ahnert, Albert-László Barabási, Roberta Sinatra, and Sune Lehmann
PNAS December 11, 2018 115 (50) 12603-12607

Source: (

Modeling Memory Effects in Activity-Driven Networks

Activity-driven networks (ADNs) have recently emerged as a powerful 
paradigm to study the temporal evolution of stochastic networked systems. 
All the information on the time-varying nature of the system is 
encapsulated into a constant activity parameter, which represents the 
propensity to generate connections. This formulation has enabled the 
scientific community to perform effective analytical studies on temporal 
networks. However, the hypothesis that the whole dynamics of the system is 
summarized by constant parameters might be excessively restrictive. 
Empirical studies suggest that activity evolves in time, intertwined with 
the system evolution, causing burstiness and clustering phenomena. In this 
paper, we propose a novel model for temporal networks, in which a 
self-excitement mechanism governs the temporal evolution of the activity, 
linking it to the evolution of the networked system. We investigate the 
effect of self-excitement on the epidemic inception by comparing the 
epidemic threshold of a Susceptible--Infected--Susceptible model in the 
presence and in the absence of the self-excitement mechanism. Our results 
suggest that the temporal nature of the activity favors the epidemic 
inception. Hence, neglecting self-excitement mechanisms might lead to 
harmful underestimation of the risk of an epidemic outbreak. Extensive 
numerical simulations are presented to support and extend our analysis, 
exploring parameter heterogeneities and noise, transient dynamics, and 
immunization processes. Our results constitute a first, necessary step 
toward a theory of ADNs that accounts for memory effects in the network 

Modeling Memory Effects in Activity-Driven Networks
Lorenzo Zino, Alessandro Rizzo, and Maurizio Porfiri

SIAM J. Appl. Dyn. Syst., 17(4), 2830˙˙2854. (25 pages)

Source: (

NERCCS 2019: Second Northeast Regional Conference on Complex Systems

NERCCS 2019: The Second Northeast Regional Conference on Complex Systems will follow the success of the previous inaugural NERCCS to promote the emerging venue of interdisciplinary scholarly exchange for complex systems researchers in the Northeast U.S. region to share their research outcomes through presentations and post-conference online publications, network with their peers in the region, and promote inter-campus collaboration and the growth of the research community.

NERCCS will particularly focus on facilitating the professional growth of early career faculty, postdocs, and students in the region who will likely play a leading role in the field of complex systems science and engineering in the coming years.

The conference will be held in the Innovative Technologies Complex at Binghamton University, which is within driving distance from all major urban areas in the U.S. Northeast region.


Source: (

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

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