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Communication Dans Un Congrès Année : 2019

NETSCITY: a geospatial application to analyse and map world scale production and collaboration data between cities

NETSCITY: une application géospatiale pour analyser et cartographier les données de production et de collaboration entre villes à l'échelle mondiale

Résumé

We present NETSCITY, an online application to analyse and visualise world scale scientific production and collaboration data between cities. Contrary to existing tools that mainly focus on displaying co-occurrence networks, NETSCITY especially focuses on processing the geographical information comprised in bibliometric data. NETSCITY proposes a fully integrated solution to parse and clean the authors' addresses, comprised in a set of references, geocoding them at the city level, clustering them at the requested level of analysis (urban areas or countries) and mapping them either on a world base map or in a relational space. In the first part of the paper, we stress the originality and design of the NETSCITY application in terms of geocoding, clustering, counting, and mapping methods. In the second part, we detail its main functionality as a geoweb application. Eventually, we show the results one can obtain by applying NETSCITY on a set of references extracted from the online version of the Web of Science Core Collection.

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Dates et versions

hal-02301035 , version 1 (30-09-2019)

Identifiants

  • HAL Id : hal-02301035 , version 1

Citer

Marion Maisonobe, Laurent Jégou, Nikita Yakimovich, Guillaume Cabanac. NETSCITY: a geospatial application to analyse and map world scale production and collaboration data between cities. International Conference on Scientometrics and Informetrics (ISSI 2019), Sep 2019, Rome, Italy. ⟨hal-02301035⟩
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