31 citations · 91 across the 6 of their papers we have counts for
6 papers
Node similarity within subgraphs of protein interaction networks
Orion Penner, Vishal Sood, Gabe Musso +3
We propose a biologically motivated quantity, twinness, to evaluate local similarity between nodes in a network. The twinness of a pair of nodes is the number of connected, labeled…
Graph animals, subgraph sampling and motif search in large networks
Kim Baskerville, Peter Grassberger, Maya Paczuski
We generalize a sampling algorithm for lattice animals (connected clusters on a regular lattice) to a Monte Carlo algorithm for `graph animals', i.e. connected subgraphs in arbitra…
Subgraph Ensembles and Motif Discovery Using a New Heuristic for Graph Isomorphism
Kim Baskerville, Maya Paczuski
A new heuristic based on vertex invariants is developed to rapidly distinguish non-isomorphic graphs to a desired level of accuracy. The method is applied to sample subgraphs from…
Big Bang riddles and their revelations
Joao Magueijo, Kim Baskerville
We describe how cosmology has converged towards a beautiful model of the Universe: the Big Bang Universe. We praise this model, but show there is a dark side to it. This dark side…
Classification of Normal Modes for Multiskyrmions
Kim Baskerville, Robin Michaels
The normal mode spectra of multiskyrmions play a key role in their quantisation. We present a general method capable of predicting all the low-lying vibrational modes of known mini…
Normal Modes of the B=4 Skyrme Soliton
Chris Barnes, Kim Baskerville, Neil Turok
The Skyrme model of nuclear physics requires quantisation if it is to match observed nuclear properties. A simple technique is used to find the normal mode spectrum of the baryon n…