small-world networks' have a high degree of local clustering or cliqueness, like a regular lattice and a relatively short average minimum path, like a completely random network. The huge appeal of 'small-world'networks' lies in the impact they are said to have on dynamical systems. In a...

This chapter examines how and to what extent there are variations in sub-regional patterns of socio-spatial interaction using a novel methodology. The methodology uses bipartite network modeling combined with spatial statistical and geographically weighted regression analysis. It provides a...

Big data holds tremendous potential for public policy analysis. At the same time, its use prompts a number of issues related to statistical bias, privacy, equity, and governance, among others. Accordingly, there is a need to formulate, evaluate, and implement policies that not only mitigate the...

?Small-world networks? have a high degree of local clustering or cliqueness, like a regular lattice and a relatively short average minimum path, like a completely random network. The huge appeal of ?small-world networks? lies in the impact they are said to have on dynamical systems. In a...

Designing resilient and reliable networks is a principle concern of planners and private firms. Traffic congestion whether recurring or as the result of some aperiodic event is extremely costly. This paper describes an alternative process and a model for analyzing the resiliency of networks that...

The notion of "smart city" incorporates promises of urban resilience, referring generally to capacities for cities to anticipate, absorb, react, respond, and reorganize in the face of disruptive changes and disturbances. As such, artificial intelligence (AI), coupled with big data, is being...