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J. Gleeson

61 papers hereh-index 408.8k citations181 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4
  • first author11
  • middle author22
  • last author23

Across the 60 of 61 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph39
  • cond-mat.dis-nn6
  • cond-mat.stat-mech6
  • nlin.AO3
  • cs.SI2
  • cond-mat.soft1
same name
  • J. Gleeson — 10 papers, h 30
  • J. Gleeson — 7 papers, h 3
  • J. Gleeson — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20032023
most citedMultilayer Networks

3.2k citations · 5.9k across the 54 of their papers we have counts for

collaborators
Showing 2012 · physics.soc-phShow all

4 papers · 2 filters

physics.soc-ph2012★ 4 cited

On Watts' Cascade Model with Random Link Weights

T. R. Hurd, James P. Gleeson

We study an extension of Duncan Watts' 2002 model of information cascades in social networks where edge weights are taken to be random, an innovation motivated by recent applicatio…

physics.soc-ph2012★ 184 cited

Binary-state dynamics on complex networks: pair approximation and beyond

James P. Gleeson

A wide class of binary-state dynamics on networks---including, for example, the voter model, the Bass diffusion model, and threshold models---can be described in terms of transitio…

physics.soc-ph2012★ 44 cited

Dynamics on Modular Networks with Heterogeneous Correlations

Sergey Melnik, Mason A. Porter, Peter J. Mucha +1

We develop a new ensemble of modular random graphs in which degree-degree correlations can be different in each module and the inter-module connections are defined by the joint deg…

physics.soc-ph2012★ 24 cited

Cascades on clique-based graphs

Adam Hackett, James P. Gleeson

We present an analytical approach to determining the expected cascade size in a broad range of dynamical models on the class of highly-clustered random graphs introduced by Gleeson…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.