Centrality measure for urban networks based on the eigenvector centrality concept (Record no. 11623)

MARC details
000 -LEADER
fixed length control field 02441nab a2200277 4500
005 - DATE & TIME
control field 20210412142006.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Agryzkov, Taras
245 ## - TITLE STATEMENT
Title Centrality measure for urban networks based on the eigenvector centrality concept
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Pages Vol 46, Issue 4, 2019,( 668-689 p.)
520 ## - SUMMARY, ETC.
Summary, etc A massive amount of information as geo-referenced data is now emerging from the digitization of contemporary cities. Urban streets networks are characterized by a fairly uniform degree distribution and a low degree range. Therefore, the analysis of the graph constructed from the topology of the urban layout does not provide significant information when studying topology-based centrality. On the other hand, we have collected geo-located data about the use of various buildings and facilities within the city. This does provide a rich source of information about the importance of various areas. Despite this, we still need to consider the influence of topology, as this determines the interaction between different areas. In this paper, we propose a new model of centrality for urban networks based on the concept of Eigenvector Centrality for urban street networks which incorporates information from both topology and data residing on the nodes. So, the centrality proposed is able to measure the influence of two factors, the topology of the network and the geo-referenced data extracted from the network and associated to the nodes. We detail how to compute the centrality measure and provide the rational behind it. Some numerical examples with small networks are performed to analyse the characteristics of the model. Finally, a detailed example of a real urban street network is discussed, taking a real set of data obtained from a fieldwork, regarding the commercial activity developed in the city.
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Subject Network graphs,
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Subject street networks,
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Subject spatial analysis,
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Subject network centrality,
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Subject eigenvector centrality
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Added Entry Personal Name Tortosa, Leandro
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Added Entry Personal Name Vicent, José F
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Added Entry Personal Name Wilson, Richard
773 0# - HOST ITEM ENTRY
Host Biblionumber 11590
Host Itemnumber 15512
Place, publisher, and date of publication Sage 2019.
Title Environment and Planning B: Urban Analytics and City Science
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1177/2399808317724444
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Koha item type Articles
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