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   Barry Wellman
  _______________________________________________________________________
   FRSC NetLab Network INSNA Founder
                      Faculty of Information (iSchool)
   University of Toronto Toronto Canada M5S 3G6
   http://www.chass.utoronto.ca/~wellman twitter: @barrywellman
   NETWORKED:The New Social Operating System. Lee Rainie & Barry Wellman
   MIT Press http://amzn.to/zXZg39 Print $15 Kindle $9
                  Old/NewCyberTimes http://bit.ly/c8N9V8
   ________________________________________________________________________


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Date: Mon, 24 Nov 2014 09:53:26 -0600
From: Complexity Digest Administration <[log in to unmask]>
To: [log in to unmask]
Subject: [comdig] Latest Complexity Digest Posts

Learn about the latest and greatest related to complex systems research. More at http://comdig.unam.mx



Strategies for containing Ebola in West Africa

    Effective drugs and vaccines for Ebola virus are not available, so what can be done? Pandey et al. used a mathematical model to analyze transmission in different scenarios: the community, hospitals, and at funerals. Achieving full compliance with any single control measure, such as case isolation, is impossible under prevailing conditions. However, with a minimum of 60% compliance, a combination of case isolation, hygienic burial, and contact tracing could reduce daily case numbers to single figures in 5 to 6 months. Success will also require persistence and sensitivity to local customs.

Strategies for containing Ebola in West Africa
Abhishek Pandey, et al.

Science 21 November 2014:
Vol. 346 no. 6212 pp. 991-995
http://dx.doi.org/10.1126/science.1260612

See it on Scoop.it (http://www.scoop.it/t/papers/p/4032182865/2014/11/23/strategies-for-containing-ebola-in-west-africa) , via Papers (http://www.scoop.it/t/papers)


Impact of heterogeneity and socioeconomic factors on individual behavior in decentralized sharing ecosystems

    The emergence of the Internet as the primary medium for information exchange has led to the development of many decentralized sharing systems. The most popular among them, BitTorrent, is used by tens of millions of people monthly and is responsible for more than one-third of the total Internet traffic. Despite its growing social, economic, and technological importance, there is little understanding of how users behave in this ecosystem. Because of the decentralized structure of peer-to-peer services, it is very difficult to gather data on users behaviors, and it is in this sense that peer-to-peer file-sharing has been called the ÿÿdark matterÿÿ of the Internet. Here, we investigate users activity patterns and uncover socioeconomic factors that could explain their behavior.

Impact of heterogeneity and socioeconomic factors on individual behavior in decentralized sharing ecosystems
Arnau Gavaldà-Miralles, et al.

PNAS

http://dx.doi.org/10.1073/pnas.1309389111

See it on Scoop.it (http://www.scoop.it/t/papers/p/4032042847/2014/11/19/impact-of-heterogeneity-and-socioeconomic-factors-on-individual-behavior-in-decentralized-sharing-ecosystems) , via Papers (http://www.scoop.it/t/papers)



Spatial patterns of close relationships across the lifespan

    The dynamics of close relationships is important for understanding the migration patterns of individual life-courses. The bottom-up approach to this subject by social scientists has been limited by sample size, while the more recent top-down approach using large-scale datasets suffers from a lack of detail about the human individuals. We incorporate the geographic and demographic information of millions of mobile phone users with their communication patterns to study the dynamics of close relationships and its effect in their life-course migration. We demonstrate how the close age- and sex-biased dyadic relationships are correlated with the geographic proximity of the pair of individuals, e.g., young couples tend to live further from each other than old couples. In addition, we find that emotionally closer pairs are living geographically closer to each other. These findings imply that the life-course framework is crucial for understanding the complex dynamics of close
relationships and their effect on the migration patterns of human individuals.

Spatial patterns of close relationships across the lifespan
ÿÿ Hang-Hyun Jo, Jari Saramäki, Robin I. M. Dunbar & Kimmo Kaski

Scientific Reports 4, Article number: 6988 http://dx.doi.org/10.1038/srep06988

See it on Scoop.it (http://www.scoop.it/t/papers/p/4031946345/2014/11/19/spatial-patterns-of-close-relationships-across-the-lifespan) , via Papers (http://www.scoop.it/t/papers)



Reputation and impact in academic careers

    Over a scientistÿÿs career, a reputation is developed, a standing
within a research community, based largely upon the quantity and quality
of his/her publications. Here, we develop a framework for quantifying the
influence author reputation has on a publicationÿÿs future impact. We find
author reputation plays a key role in driving a paperÿÿs citation count
early in its citation life cycle, before a tipping point, after which
reputation has much less influence relative to the paperÿÿs citation
count. In science, perceived quality, and decisions made based on those
perceptions, is increasingly linked to citation counts. Shedding light on
the complex mechanisms driving these quantitative measures facilitates not
only better evaluation of scientific outputs but also a more transparent
evaluation of the scientists producing them.

Reputation and impact in academic careers
Alexander Michael Petersen, Santo Fortunato, Raj K. Pan, Kimmo Kaski, Orion Penner, Armando Rungi, Massimo Riccaboni, H. Eugene Stanley, and Fabio Pammolli

PNAS

http://dx.doi.org/10.1073/pnas.1323111111

See it on Scoop.it (http://www.scoop.it/t/papers/p/4031770495/2014/11/19/reputation-and-impact-in-academic-careers) , via Papers (http://www.scoop.it/t/papers)



Multilayer stochastic block models reveal the multilayer structure of complex networks

    In complex systems, the network of interactions we observe between system's components is the aggregate of the interactions that occur through different mechanisms or layers. Recent studies reveal that the existence of multiple interaction layers can have a dramatic impact in the dynamical processes occurring on these systems. However, these studies assume that the interactions between systems components in each one of the layers are known, while typically for real-world systems we do not have that information. Here, we address the issue of uncovering the different interaction layers from aggregate data by introducing multilayer stochastic block models (SBMs), a generalization of single-layer SBMs that considers different mechanisms of layer aggregation. First, we find the complete probabilistic solution to the problem of finding the optimal multilayer SBM for a given aggregate observed network. Because this solution is computationally intractable, we propose an approximation
that enables us to verify that multilayer SBMs are more predictive of network structure in real-world complex systems.

Multilayer stochastic block models reveal the multilayer structure of complex networks
Toni Valles-Catala, Francesco A. Massucci, Roger Guimera, Marta Sales-Pardo
http://arxiv.org/abs/1411.1098

See it on Scoop.it (http://www.scoop.it/t/papers/p/4032042835/2014/11/19/multilayer-stochastic-block-models-reveal-the-multilayer-structure-of-complex-networks) , via Papers (http://www.scoop.it/t/papers)



Advances in Complex Systems | Lake Como School of Advanced Studies, 29 June ÿÿ 3 July 2015 (Como)

    The school will take place from 29 June to 3 July 2015
The scope of the school is to present recent advances in complex systems discussing applications of statistical mechanics of non-equilibrium and disordered systems, theories of complex networks and other stochastic systems to different topics in materials science, social sciences, biology and biomedical research. The broad choice of interdisciplinary topics is designed to expose the students to some of the multiple facets of complex systems theory.
The school is open to graduate students and postdoctoral fellows working in complex systems and related fields.

Advances in Complex Systems
Lake Como School of Advanced Studies, 29 June ÿÿ 3 July 2015 (Como)

http://acss.lakecomoschool.org/

See it on Scoop.it (http://www.scoop.it/t/cxannouncements/p/4032005949/2014/11/19/advances-in-complex-systems-lake-como-school-of-advanced-studies-29-june-3-july-2015-como) , via CxAnnouncements (http://www.scoop.it/t/cxannouncements)



Winter Workshop on Complex Systems 2015

    The goal of this workshop is to encourage the collaboration between young researchers with different backgrounds to develop new science in complex systems. Participants will present their current work and interests and begin to develop multidisciplinary projects with other participants through different activities.

Winter Workshop on Complex Systems 2015
19th - 23rd of January 2015
Vrije Universiteit Brussel, Belgium

http://ai.vub.ac.be/complexity/

See it on Scoop.it (http://www.scoop.it/t/cxconferences/p/4031974734/2014/11/18/winter-workshop-on-complex-systems-2015) , via CxConferences (http://www.scoop.it/t/cxconferences)



Network Science PhD Program | Northeastern University

    The PhD program in Network Science at Northeastern University is a new interdisciplinary program that provides the tools and concepts for understanding the structure and dynamics of networks across diverse domains, such as human behavior, socio-technical infrastructures, or biological agents. Students have the opportunity to work with some of the most prominent network scientists in the world, and can participate in cutting edge research activities and work with unique large-scale network datasets. Network Science is deeply interdisciplinary, yet shares a common core, and students in this program both develop expertise in these core concepts, and interact and learn from members of the network science community across a wide range of fields, including computer science, information science, complexity, physics, sociology, communication, organizational behavior, political science, and epidemiology.
Northeastern University is a world leader in Network Science, with prominent faculty in the field such as Albert-László Barabási, Alessandro Vespignani, David Lazer, and Alan Mislove; numerous affiliated faculty; and multiple centers and labs with scores of researchers. A key element of the program involves careful mentoring from these faculty and immediate involvement in the cutting edge research taking place at Northeastern. Current formal concentrations of study, in addition to the core material, include the physical sciences, the social sciences, health science, or computer and information sciences.
We offer a generous complete package for the first year that includes a full tuition waiver, full medical coverage and a competitive yearly stipend as long as the student remains in good standing at the end of the academic year. See the Overview and the sections on Courses and Requirements for more information.

http://www.northeastern.edu/networkscience

See it on Scoop.it (http://www.scoop.it/t/cxannouncements/p/4031681157/2014/11/18/network-science-phd-program-northeastern-university) , via CxAnnouncements (http://www.scoop.it/t/cxannouncements)


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