Month: January 2017

Mapping the Themes, Impact, and Cohesion of Creativity Research over the Last 25 Years

This article describes the themes found in the past 25 years of creativity research. Computational methods and network analysis were used to map keyword theme development across ~1,400 documents and ~5,000 unique keywords from 1990 (the first year keywords are available in Web of Science) to 2015.

Mapping the Themes, Impact, and Cohesion of Creativity Research over the Last 25 Years
Rich Williams, Mark A. Runco & Eric Berlow
Creativity Research Journal.Volume 28, 2016 – Issue 4 Pages 385-394 | Published online: 14 Nov 2016

Source: www.tandfonline.com

See Also: Companion interactive visualization http://app.mappr.io/play/CreativityResearch1990-2015?_scpsug=ugc_146060#_scpsug=ugc_146060

Information and Self-Organization [Introduction to Special Issue]

The process of “self-organization” takes place in open and complex systems that acquire spatio-temporal or functional structures without specific ordering instructions from the outside. In domains such as physics, chemistry or biology, the phrase, “far from equilibrium”, refers to systems that are “far from thermal equilibrium”, while in other disciplines, the term refers to the property of being “away from the resting state”. Such systems are “complex” in the sense that they are composed of many interacting components, parts, elements, etc., and “open” in the sense that they exchange with their environment matter, energy, and information. Here, “information” may imply Shannon information, as a measure of the capacity of a channel through which a message passes, pragmatic information, as the impact of a message on recipients, or semantic information, as the meaning conveyed by a message.

Information and Self-Organization
Hermann Haken and Juval Portugali

Entropy 2017, 19(1), 18; doi:10.3390/e19010018

Source: www.mdpi.com

University of Sydney – Postdoctoral Research Associate in Complex Systems

Two positions in:

(1) large-scale computational modelling of epidemics,

(2) simulation, modelling and analysis of housing market risks

Research focussed on focussed on studying nonlinear critical phenomena in technological, social, organisational, and biological systems
Join a research group of international reputation and contribute to developing and presenting new and innovative ideas
Full-time 2.5-year fixed term, (flexible part time options are possible) remuneration package: $104K p.a. which includes leave loading and up to 17% super)

Source: sydney.nga.net.au

Graph Product Multilayer Networks: Spectral Properties and Applications

This paper aims to establish theoretical foundations of graph product multilayer networks (GPMNs), a family of multilayer networks that can be obtained as a graph product of two or more factor networks. Cartesian, direct (tensor), and strong product operators are considered, and then generalized. We first describe mathematical relationships between GPMNs and their factor networks regarding their degree/strength, adjacency, and Laplacian spectra, and then show that those relationships can still hold for nonsimple and generalized GPMNs. Applications of GPMNs are discussed in three areas: predicting epidemic thresholds, modeling propagation in nontrivial space and time, and analyzing higher-order properties of self-similar networks. Directions of future research are also discussed.

Graph Product Multilayer Networks: Spectral Properties and Applications
Hiroki Sayama

Source: arxiv.org

GEFENOL Summer School 2017

Statistical Physics, which was born as an attempt to explain thermodynamic properties of systems from its atomic and molecular components, has evolved into a solid body of knowledge that allows for the understanding of macroscopic collective phenomena. The tools developed by the Statistical Physics together with the Theory of Dynamical Systems are of key importance in the understanding of Complex Systems which are characterized by the emergent and collective phenomena of many interacting units. While the basic body of knowledge of Statistical Physics and Dynamical Systems is well described in textbooks at undergraduate or master level, the applications to open problems in the context of Complex Systems are well beyond the scope of those textbooks. Aiming at bridging this gap the Topical Group on Statistical and Non Linear Physics (GEFENOL) of the Royal Spanish Physical Society is promoting the Summer School on Statistical Physics of Complex Systems series, open to PhD students and young postdocs world-wide.

VII GEFENOL Summer School on Statistical Physics of Complex Systems
IFISC, Palma de Mallorca, Spain, June 19-30, 2017

Source: school2017.gefenol.es