46 citations · 177 across the 10 of their papers we have counts for
10 papers
Explaining the emergence of complex networks through log-normal fitness in a Euclidean node similarity space
Keith M. Smith
Networks of disparate phenomena-- be it the global ecology, human social institutions, within the human brain, or in micro-scale protein interactions-- exhibit broadly consistent a…
On neighbourhood degree sequences of complex networks
Keith M. Smith
Network topology is a fundamental aspect of network science that allows us to gather insights into the complicated relational architectures of the world we inhabit. We provide a fi…
Normalised Degree Variance
Keith M. Smith, Javier Escudero
Finding graph indices which are unbiased to network size and density is of high importance both within a given field and across fields for enhancing comparability of modern network…
Are Erdös- Rényi Random Graphs Topologically Random?
Keith Smith, Javier Escudero
No. We prove that Erdos- Renyi Random Graphs are not topologically random.
Graph-Variate Signal Analysis
Keith Smith, Loukianos Spyrou, Javier Escudero
Incorporating graphs in the analysis of multivariate signals is becoming a standard way to understand the interdependency of activity recorded at different sites. The new research…
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation
Keith Smith, Daniel Abasalo, Javier Escudero
Research into binary network analysis of brain function faces a methodological challenge in selecting an appropriate threshold to binarise edge weights. For EEG phase-based functio…