Name
Abstract | ||
|---|---|---|
Firstly introduced in social science, the notion of centrality has spread to the whole complex network science. A centrality is a measure that quantifies whether an element of a network is well served or not, easy to reach, necessary to cross. This article focuses on cities' street network (seen as a communication network). We redefine two classical centralities (the closeness and the straightness) and introduce the notion of simplest centrality. To this we introduce a mathematical framework which allows considering a city as a geometrical continuum rather than a plain topological graph. The color plotting of the various centralities permits a visual analysis of the city and to diagnose local malfunctionings. The relevance of our framework and centralities is discussed from visual analysis of French towns and from computational complexity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.5555/2151688.2151724 | VALUETOOLS |
Keywords | Field | DocType |
whole complex network science,city street network,french town,various centrality,street network,centrality map,social science,simplest centrality,classical centrality,communication network,visual analysis,mathematical framework,centrality | Network science,Random walk closeness centrality,Street network,Computer science,Centrality,Betweenness centrality,Artificial intelligence,Network theory,Complex network,Katz centrality | Conference |
ISBN | Citations | PageRank |
978-1-936968-09-1 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Courtat | 1 | 0 | 0.68 |
| Stéphane Douady | 2 | 5 | 4.34 |
| Catherine Gloaguen | 3 | 22 | 5.43 |