154 citations · 1.2k across the 65 of their papers we have counts for
7 papers · 1 filter
Realistic network growth using only local information: From random to scale-free and beyond
David M. D. Smith, Chiu Fan Lee, Neil F. Johnson
We introduce a simple one-parameter network growth algorithm which is able to reproduce a wide variety of realistic network structures but without having to invoke any global infor…
Impact of Unexpected Events, Shocking News and Rumours on Foreign Exchange Market Dynamics
Mark McDonald, Omer Suleman, Stacy Williams +2
We analyze the dynamical response of the world's financial community to various types of unexpected events, including the 9/11 terrorist attacks as they unfolded on a minute-by-min…
Predictability, Risk and Online Management in a Complex System of Adaptive Agents
David M. D. Smith, Neil F. Johnson
We discuss the feasibility of predicting, managing and subsequently manipulating, the future evolution of a Complex Adaptive System. Our archetypal system mimics a population of ad…
Interplay between function and structure in complex networks
Timothy C. Jarrett, Douglas J. Ashton, Mark Fricker +1
We show that abrupt structural transitions can arise in functionally optimal networks, driven by small changes in the level of transport congestion. Our results offer an explanatio…
Effects of decision-making on the transport costs across complex networks
Sean Gourley, Neil F. Johnson
We analyze the effects of agents' decisions on the creation of congestion on a centralized network with ring-and-hub topology. We show that there are two classes of agents each dis…
Pair Formation within Multi-Agent Populations
David M. D. Smith, Neil F. Johnson
We present a simple model for the formation of pairs in multi-agent populations of type A and B which move freely on a spatial network. Each agent of population A (and B) is labele…
Multi-Agent Complex Systems and Many-Body Physics
Neil F. Johnson, David M. D. Smith, Pak Ming Hui
Multi-agent complex systems comprising populations of decision-making particles, have many potential applications across the biological, informational and social sciences. We show…