Abstract Spatial embeddedness and planarity of urban road networks limit the range of their node degree values. Therefore, pursuing analysis based on the distribution of node degrees e.g. scale free aspect could not be accomplished in urban road networks. We have inspected the distribution of degree, betweenness centrality, weighted degree (based on incident link capacities), and alpha weighted degree for eight urban road networks across the world. These networks are abstracted from Philadelphia (USA), Berlin (Germany), Chicago (USA), Anaheim (USA), Gold Coast (Australia), Birmingham (UK), and Isfahan (Iran). Our results show that although the degree (weighted and unweighted) distributions of these networks are totally different, they all s...
International audienceThe betweenness centrality, a path-based global measure of flow, is a static p...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Research interests in the studies of complex systems have been booming in many disciplines for the l...
The city road system, as well as other complex systems, can be modeled as networks. Studies investig...
The city road system, as well as other complex systems, can be modeled as networks. Studies investig...
This is the final version. Available on open access from Nature Research via the DOI in this recordD...
Centrality has revealed crucial for understanding the structural order of complex relational network...
International audienceThe betweenness centrality, a path-based global measure of flow, is a static p...
Abstract: Just as the cardiovascular network distributes energy and materials to cells in an organis...
Urban planners have been long interested in understanding how urban structure and activities are mut...
This article presents a method to uncover universal patterns and similarities in the urban road netw...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
International audienceThe betweenness centrality, a path-based global measure of flow, is a static p...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Research interests in the studies of complex systems have been booming in many disciplines for the l...
The city road system, as well as other complex systems, can be modeled as networks. Studies investig...
The city road system, as well as other complex systems, can be modeled as networks. Studies investig...
This is the final version. Available on open access from Nature Research via the DOI in this recordD...
Centrality has revealed crucial for understanding the structural order of complex relational network...
International audienceThe betweenness centrality, a path-based global measure of flow, is a static p...
Abstract: Just as the cardiovascular network distributes energy and materials to cells in an organis...
Urban planners have been long interested in understanding how urban structure and activities are mut...
This article presents a method to uncover universal patterns and similarities in the urban road netw...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
International audienceThe betweenness centrality, a path-based global measure of flow, is a static p...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...
Centrality has revealed crucial for understanding the structural properties of complex relational ne...