154 citations · 1.2k across the 65 of their papers we have counts for
5 papers · 1 filter
Link-space formalism for network analysis
David M. D. Smith, Chiu Fan Lee, Jukka-Pekka Onnela +1
We introduce the link-space formalism for analyzing network models with degree-degree correlations. The formalism is based on a statistical description of the fraction of links l_{…
Inferring the Composition of a Trader Population in a Financial Market
Nachi Gupta, Raphael Hauser, Neil F. Johnson
We discuss a method for predicting financial movements and finding pockets of predictability in the price-series, which is built around inferring the heterogeneity of trading strat…
Link-Space and Network Analysis
David M. D. Smith, Chiu Fan Lee, Neil F. Johnson +1
Many networks contain correlations and often conventional analysis is incapable of incorporating this often essential feature. In arXiv:0708.2176, we introduced the link-space form…
Accelerating networks
David M. D. Smith, Jukka-Pekka Onnela, Neil F. Johnson
Evolving out-of-equilibrium networks have been under intense scrutiny recently. In many real-world settings the number of links added per new node is not constant but depends on th…
Network Automata: Coupling structure and function in real-world networks
David M. D. Smith, Jukka-Pekka Onnela, Chiu Fan Lee +2
We introduce Network Automata, a framework which couples the topological evolution of a network to its structure. It is useful for dealing with networks in which the topology evolv…