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Dive into the research topics where Fiona Skerman is active.

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Featured researches published by Fiona Skerman.


Electronic Notes in Discrete Mathematics | 2013

Modularity in random regular graphs and lattices

Colin McDiarmid; Fiona Skerman

Abstract Given a graph G, the modularity of a partition of the vertex set measures the extent to which edge density is higher within parts than between parts; and the modularity of G is the maximum modularity of a partition. We give an upper bound on the modularity of r-regular graphs as a function of the edge expansion (or isoperimetric number) under the restriction that each part in our partition has a sub-linear numbers of vertices. This leads to results for random r-regular graphs. In particular we show the modularity of a random cubic graph partitioned into sub-linear parts is almost surely in the interval (0.66, 0.88). The modularity of a complete rectangular section of the integer lattice in a fixed dimension was estimated in Guimer et. al. [R. Guimera, M. Sales-Pardo and L.A. Amaral, Modularity from fluctuations in random graphs and complex networks, Phys. Rev. E 70 (2) (2004) 025101]. We extend this result to any subgraph of such a lattice, and indeed to more general graphs.


Discrete Mathematics & Theoretical Computer Science | 2015

Avoider-enforcer star games

Andrzej Grzesik; Mirjana Mikalački; Zoltán Lóránt Nagy; Alon Naor; Balázs Patkós; Fiona Skerman

In this paper, we study (1 : b) Avoider-Enforcer games played on the edge set of the complete graph on n vertices. For every constant k≥3 we analyse the k-star game, where Avoider tries to avoid claiming k edges incident to the same vertex. We consider both versions of Avoider-Enforcer games — the strict and the monotone — and for each provide explicit winning strategies for both players. We determine the order of magnitude of the threshold biases fmonF, f-F and f+F, where F is the hypergraph of the game.


29th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2018) | 2018

Permutations in Binary Trees and Split Trees

Michael Albert; Cecilia Holmgren; Tony Johansson; Fiona Skerman

We investigate the number of permutations that occur in random node labellings of trees. This is a generalisation of the number of subpermutations occuring in a random permutation. It also generalises some recent results on the number of inversions in randomly labelled trees [Cai et al., 2017]. We consider complete binary trees as well as random split trees a large class of random trees of logarithmic height introduced by Devroye [Devroye, 1998]. Split trees consist of nodes (bags) which can contain balls and are generated by a random trickle down process of balls through the nodes. For complete binary trees we show that asymptotically the cumulants of the number of occurrences of a fixed permutation in the random node labelling have explicit formulas. Our other main theorem is to show that for a random split tree with high probability the cumulants of the number of occurrences are asymptotically an explicit parameter of the split tree. For the proof of the second theorem we show some results on the number of embeddings of digraphs into split trees which may be of independent interest.


arXiv: Combinatorics | 2017

Modularity of tree-like and random regular graphs

Colin McDiarmid; Fiona Skerman


Electronic Journal of Combinatorics | 2017

Guessing Numbers of Odd Cycles

Ross Atkins; M. Puck Rombach; Fiona Skerman


The Journal of Combinatorics | 2016

Degree sequences of random digraphs and bipartite graphs

Brendan D. McKay; Fiona Skerman


arXiv: Probability | 2018

Random tree recursions: which fixed points correspond to tangible sets of trees?

Tobias Johnson; Moumanti Podder; Fiona Skerman


arXiv: Probability | 2018

Cutting resilient networks.

Xing Shi Cai; Luc Devroye; Cecilia Holmgren; Fiona Skerman


arXiv: Combinatorics | 2018

Modularity of Erd\H{o}s-R\'enyi random graphs.

Colin McDiarmid; Fiona Skerman


Journal of Complex Networks | 2018

Modularity of regular and treelike graphs

Colin McDiarmid; Fiona Skerman

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Tony Johansson

Carnegie Mellon University

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Brendan D. McKay

Australian National University

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Balázs Patkós

Alfréd Rényi Institute of Mathematics

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