377 citations · 1.3k across the 25 of their papers we have counts for
26 papers
Strongly clustered random graphs via triadic closure: Degree correlations and clustering spectrum
Lorenzo Cirigliano, Gareth J. Baxter, Gábor Timár
Real-world networks often exhibit strong transitivity with nontrivial local clustering spectra and degree correlations. Such features are not easily modeled in tractable network mo…
Super-Linear Growth and Rising Inequality in Online Social Communities: Insights from Reddit
Guilherme Machado, Diogo Pacheco, Ronaldo Menezes +1
We study the effect of the number of users on the activity of communities within the online content sharing and discussion platform Reddit, called subreddits. We found that comment…
Inference of Causal Networks using a Topological Threshold
Filipe Barroso, Diogo Gomes, Gareth J. Baxter
We propose a constraint-based algorithm, which automatically determines causal relevance thresholds, to infer causal networks from data. We call these topological thresholds. We pr…
Strongly clustered random graphs via triadic closure: An exactly solvable model
Lorenzo Cirigliano, Claudio Castellano, Gareth Baxter +1
Triadic closure, the formation of a connection between two nodes in a network sharing a common neighbor, is considered a fundamental mechanism determining the clustered nature of m…
Weak percolation on multiplex networks with overlapping edges
G. J. Baxter, R. A. da Costa, S. N. Dorogovtsev +1
We solve the weak percolation problem for multiplex networks with overlapping edges. In weak percolation, a vertex belongs to a connected component if at least one of its neighbors…
Effect of initial infection size on network SIR model
G. Machado, G. J. Baxter
We consider the effect of a nonvanishing fraction of initially infected nodes (seeds) on the SIR epidemic model on random networks. This is relevant when, for example, the number o…