Fiona Skerman
University of Oxford
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Fiona Skerman.
Electronic Notes in Discrete Mathematics | 2013
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
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
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
Colin McDiarmid; Fiona Skerman
Electronic Journal of Combinatorics | 2017
Ross Atkins; M. Puck Rombach; Fiona Skerman
The Journal of Combinatorics | 2016
Brendan D. McKay; Fiona Skerman
arXiv: Probability | 2018
Tobias Johnson; Moumanti Podder; Fiona Skerman
arXiv: Probability | 2018
Xing Shi Cai; Luc Devroye; Cecilia Holmgren; Fiona Skerman
arXiv: Combinatorics | 2018
Colin McDiarmid; Fiona Skerman
Journal of Complex Networks | 2018
Colin McDiarmid; Fiona Skerman