activity
20202026
most citedRandom graphs with arbitrary clustering and their applications

19 citations · 78 across the 8 of their papers we have counts for

collaborators

8 papers

physics.soc-ph2026★ 8 cited

Degree correlations in graphs with clique clustering

Peter Mann, V. Anne Smith, John B. O. Mitchell +1

Correlations among the degrees of vertices in random graphs often occur when clustering is present. In this paper we define a joint-degree correlation function for vertices in the…

physics.soc-ph2026★ 2 cited

An exact N-strain epidemic model using bond percolation

Peter Mann, V. Anne Smith, John B. O. Mitchell +1

In this paper we examine the emergent structures of random networks that have undergone bond percolation an arbitrary, but finite, number of times. We define two types of sequentia…

physics.soc-ph2023★ 6 cited

Symbiotic and antagonistic disease dynamics on networks using bond percolatio

Peter Mann, V. Anne Smith, John Mitchell +1

In this paper we introduce a novel description of the equilibrium state of a bond percolation process on random graphs using the exact method of generating functions. This allows u…

physics.soc-ph2021★ 7 cited

An exact formula for percolation on higher-order cycles

Peter Mann, V Anne Smith, John Mitchell +2

We present exact solutions for the size of the giant connected component (GCC) of graphs composed of higher-order homogeneous cycles, including weak cycles and cliques, following b…

physics.soc-ph2020★ 9 cited

Cooperative coinfection dynamics on clustered networks

Peter Mann, Anne Smith, John Mitchell +1

Coinfection is the process by which a host that is infected with a pathogen becomes infected by a second pathogen at a later point in time. An immunosuppressant host response to a…

physics.soc-ph2020★ 14 cited

Two-pathogen model with competition on clustered networks

Peter Mann, V. Anne Smith, John B. O. Mitchell +1

Networks provide a mathematically rich framework to represent social contacts sufficient for the transmission of disease. Social networks are often highly clustered and fail to be…