Journal of Complex Networks

Papers
(The TQCC of Journal of Complex Networks is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Multi-Scale attributed node embedding165
Configuration models of random hypergraphs58
The impact of human mobility networks on the global spread of COVID-1936
Bayesian inference of network structure from unreliable data31
Cascading failures in complex networks26
Motif discovery algorithms in static and temporal networks: A survey20
Random walks on weighted networks: a survey of local and non-local dynamics19
The polarization within and across individuals: the hierarchical Ising opinion model18
Non-local network dynamics via fractional graph Laplacians16
The distance backbone of complex networks16
Hypergraphs for predicting essential genes using multiprotein complex data15
The role of age in the spreading of COVID-19 across a social network in Bucharest12
Assortativity measures for weighted and directed networks11
Normalized Laplace operators for hypergraphs with real coefficients9
Branching process descriptions of information cascades on Twitter9
Characterization of robustness and resilience in graphs: a mini-review8
Networks with growth and preferential attachment: modelling and applications8
Evaluating community detection algorithms for progressively evolving graphs8
A density-based statistical analysis of graph clustering algorithm performance8
Does meditation lead to a stable mind? Synchronous stability and time-varying graphs in meditators8
Animal social networks: an introduction for complex systems scientists8
Modelling the impact of social distancing and targeted vaccination on the spread of COVID-19 through a real city-scale contact network8
A dynamic model for the mutual constitution of individuals and events7
Pearson correlations on complex networks6
The friendship paradox in real and model networks6
Interest clustering coefficient: a new metric for directed networks like Twitter6
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