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Date: Mon, 19 Jan 2015 06:32:09 -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

On the role of spatial dynamics and topology on network flows

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Follow the Leader: Herding Behavior in Heterogeneous Populations

    Here we study the emergence of spontaneous leadership in large populations. In standard models of opinion dynamics, herding behavior is only obeyed at the local scale due to the interaction of single agents with their neighbors; while at the global scale, such models are governed by purely diffusive processes. Surprisingly, in this paper we show that the combination of a strong separation of time scales within the population and a hierarchical organization of the influences of some agents on the others induces a phase transition between a purely diffusive phase, as in the standard case, and a herding phase where a fraction of the agents self-organize and lead the global opinion of the whole population.

Follow the Leader: Herding Behavior in Heterogeneous Populations
Guillem Mosquera-Donate, Marian Boguna

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V Summer School on Statistical Physics of Complex and Small Systems

    Centre de Recerca Matemŗtica, Barcelona

July 6 to 17, 2015

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Computational Aspects of Ancient Social Heterarchies: Learning how to Address Contemporary Global Challenges

    As hierarchically and centrally controlled computational systems, contemporary political systems have limitations in their information processing and action capacities to face the current social crises and challenges. In contrast, some older cultures whose political structure was more heterarchically organized, such as found in pre-Hispanic Colombia, were adaptive even without advanced scientific knowledge and without powerful top-down control. In this context, we propose that creating and analyzing computer models of their decentralized processes of management can provide a broader perspective on the possibilities of political organization. In terms of self-optimization, this approach seeks the promotion of social systems with a balance of flexibility and robustness, i.e., systems that do not rely on the current ideal of rule-based control of all systemic aspects.

Computational Aspects of Ancient Social Heterarchies: Learning how to Address Contemporary Global Challenges
Nathalie Mezza-Garcia, Tom Froese, Nelson FernŠndez

Journal of Sociocybernetics Vol 12, No 1/2 (2014)

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Postdoctoral Research Associate in Complex Systems @Sydney_Uni

    The School of Civil Engineering seeks to appoint a Postdoctoral Research Associate (Level A) in the Complex Systems Research Group.

This is an opportunity to work in the Complex Systems Research Group (CSRG) of Professor Mikhail Prokopenko ( on research projects aimed to discover fundamental connections between information-theoretic and statistical-mechanical approaches to self-organisation. His group also participates in Complex Systems Research Cluster of the Faculty of Engineering and IT, and has wide collaborations across the University, Australia, and internationally.

You will form a team investigating a variety of theoretical and computational topics in nonlinear critical phenomena intrinsic to self-organisation, with particular focus on information dynamics during phase transitions. Key applications will be pursued aiming to increase robustness and resilience of a diverse range of complex systems, from digital circuitry to power grids to social networks, by identifying more timely and precise emergency interventions during technological, socio-ecological, and socio-economic crises. You will also be expected to collaborate with interdisciplinary teams of theoreticians and experimentalists to advance these projects.

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

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