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Competing activation mechanisms in epidemics on networks

Authors: Castellano, Claudio; Pastor Satorras, Romualdo;

Competing activation mechanisms in epidemics on networks

Abstract

In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated by the hubs with the largest number of connections, recent research has pointed out the role that the innermost, dense core of the network plays in sustaining epidemic processes. Here we show that the mechanism responsible of spreading depends on the nature of the process. Epidemics with a transient state are boosted by the innermost core. Contrarily, epidemics allowing a steady state present a dual scenario, where either the hub independently sustains activity and propagates it to the rest of the system, or, alternatively, the innermost network core collectively turns into the active state, maintaining it globally. In uncorrelated networks the former mechanism dominates if the degree distribution decays with an exponent larger than 5/2, and the latter otherwise. Topological correlations, rife in real networks, may perturb this picture, mixing the role of both mechanisms.

32 pages, 10 figures

Countries
Spain, Spain, Italy
Keywords

COMPLEX NETWORKS, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, :Física [Àrees temàtiques de la UPC], Statistical Mechanics (cond-mat.stat-mech), Àrees temàtiques de la UPC::Física, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), epidemics, Article, RANDOM GRAPHS, Termodinàmica, Thermodynamics, Statistical physics, SPREAD, Theoretical physics, Física estadística, Condensed Matter - Statistical Mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
125
Top 10%
Top 10%
Top 1%
61
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