activity
19982010
most citedInterplay between function and structure in complex networks

55 citations · 144 across the 27 of their papers we have counts for

collaborators
Showing 2006Show all

6 papers · 1 filter

cond-mat.stat-mech20062 cited

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…

physics.soc-ph20062 cited

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…

physics.bio-ph200655 cited

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…

physics.soc-ph200611 cited

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…

physics.soc-ph20063 cited

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…

physics.soc-ph20068 cited

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…