Next Article in Journal
A Maximum Entropy-Based Chaotic Time-Variant Fragile Watermarking Scheme for Image Tampering Detection
Next Article in Special Issue
Modeling Dynamics of Diffusion Across Heterogeneous Social Networks: News Diffusion in Social Media
Previous Article in Journal
Communicating through Probabilities: Does Quantum Theory Optimize the Transfer of Information?
Previous Article in Special Issue
What Do Leaders Know?
Article

Low-Temperature Behaviour of Social and Economic Networks

1
Lorentz Institute of Theoretical Physics, University of Leiden, Niels Bohrweg 2, Leiden 2333 CA, The Netherlands
2
Theory of Condensed Matter, Cavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
3
London Institute for Mathematical Sciences, 22 South Audley St, London W1K 2NY, UK
4
IMT Alti Studi Lucca, Piazza S. Ponziano 6, Lucca 55100, Italy
5
ISC-CNR, Dipartimento di Fisica, Università La Sapienza, P.le A. Moro 2, Roma 00185, Italy
*
Author to whom correspondence should be addressed.
Entropy 2013, 15(8), 3148-3169; https://doi.org/10.3390/e15083238
Received: 19 June 2013 / Revised: 17 July 2013 / Accepted: 30 July 2013 / Published: 5 August 2013
(This article belongs to the Special Issue Social Networks and Information Diffusion)
Real-world social and economic networks typically display a number of particular topological properties, such as a giant connected component, a broad degree distribution, the small-world property and the presence of communities of densely interconnected nodes. Several models, including ensembles of networks, also known in social science as Exponential Random Graphs, have been proposed with the aim of reproducing each of these properties in isolation. Here, we define a generalized ensemble of graphs by introducing the concept of graph temperature, controlling the degree of topological optimization of a network. We consider the temperature-dependent version of both existing and novel models and show that all the aforementioned topological properties can be simultaneously understood as the natural outcomes of an optimized, low-temperature topology. We also show that seemingly different graph models, as well as techniques used to extract information from real networks are all found to be particular low-temperature cases of the same generalized formalism. One such technique allows us to extend our approach to real weighted networks. Our results suggest that a low graph temperature might be a ubiquitous property of real socio-economic networks, placing conditions on the diffusion of information across these systems. View Full-Text
Keywords: complex networks; graph ensembles; graph temperature complex networks; graph ensembles; graph temperature
Show Figures

Figure 1

MDPI and ACS Style

Garlaschelli, D.; Ahnert, S.E.; Fink, T.M.A.; Caldarelli, G. Low-Temperature Behaviour of Social and Economic Networks. Entropy 2013, 15, 3148-3169. https://doi.org/10.3390/e15083238

AMA Style

Garlaschelli D, Ahnert SE, Fink TMA, Caldarelli G. Low-Temperature Behaviour of Social and Economic Networks. Entropy. 2013; 15(8):3148-3169. https://doi.org/10.3390/e15083238

Chicago/Turabian Style

Garlaschelli, Diego, Sebastian E. Ahnert, Thomas M.A. Fink, and Guido Caldarelli. 2013. "Low-Temperature Behaviour of Social and Economic Networks" Entropy 15, no. 8: 3148-3169. https://doi.org/10.3390/e15083238

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop