NETSCITY Tutorial: Unveiling world scale scientific production and collaborations between cities
Résumé
This tutorial introduces NETSCITY (https://irit.fr/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 offers a fully integrated five-step solution to, 1) parse and 2) cleanse the authors' addresses (those are extracted from a set of references given as input) prior to 3) geocoding them at the city level, 4) clustering them at the requested level of analysis (urban areas or countries), and 5) mapping them either on a world base map or in a relational space. The first part of the tutorial provides an overview of the spatial bibliometrics field; the second part addresses the issues NETSCITY intends to tackle: geocoding, clustering, counting, and mapping methods performed at the click of a mouse. Each attendee will perform spatial bibliometrics with NETSCITY during the guided tour we provide on case studies before experimenting with his/her own dataset or on a set of references extracted from the Web of Science Core Collection.