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Spatial networks

2010/10/02 by Marc Barthélemy, Marc Barthelemy · 1 voice · 14 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Complex network #Computer science #Human Mobility and Location-Based Analysis #Mobile phone #Opinion Dynamics and Social Influence #Physics #Space (punctuation) #Synchronization (alternating current) #Telecommunications #Topology (electrical circuits) #cond-mat.dis-nn #cond-mat.stat-mech #cs.SI #physics.soc-ph #q-bio.NC

paper · pdf · doi:10.1016/j.physrep.2010.11.002

published as Physics Reports 499:1-101 (2011) · Review article, revised and augmented version, 86 pages, 86 figures, 338 references

arxiv published 2010/10/02 · arxiv created 2010/11/04 · arxiv updated 2010/11/04 · openalex publication_date 2010/11/24 · openalex created_date 2020/07/02 · openalex updated_date 2026/08/06

Abstract

Complex systems are very often organized under the form of networks where nodes and edges are embedded in space. Transportation and mobility networks, Internet, mobile phone networks, power grids, social and contact networks, neural networks, are all examples where space is relevant and where topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields ranging from urbanism to epidemiology. An important consequence of space on networks is that there is a cost associated to the length of edges which in turn has dramatic effects on the topological structure of these networks. We will expose thoroughly the current state of our understanding of how the spatial constraints affect the structure and properties of these networks. We will review the most recent empirical observations and the most important models of spatial networks. We will also discuss various processes which take place on these spatial networks, such as phase transitions, random walks, synchronization, navigation, resilience, and disease spread.

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