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NODES_Spoke 3 - CIRIL - RM3 - D1.1 - Context related analysis of lesser known cultural areas
The Deliverable investigated about how visitor attendance in lesser-known cultural areas can be increased through the adoption of ICT, as well as at implementing new technological architectures that allow, the construction of thematic and customised routes, improving the planning capacity of cultural sites through innovative data collection and analysis tools. The Research Team is composed by Professor Gerardo Canfora, Rector of University del Sannio, Gaetano Natullo, Director of Department of Law, Economics, Management and Quantitative Methods (DEMM), Paolo Esposito, Angelo Riviezzo, Biagio Simonetti and Pasquale Vito.During the 2023, two researchers were recruited and included in the Research Team: Piera Zerillo, Research Fellow, and Massimiliano Tufo, Ph.D. Student. This document is part of the project NODES which has received funding from the MUR – Missione 4, Componente 2, Investimento 1.5 – Creazione e rafforzamento di “Ecosistemi dell’innovazione”, costruzione di “leader territoriali di R&S” – del PNRR funded by the European Union - NextGenerationEU with grant agreement no. ECS00000036
Sustainability, Spoke 3 - Culture and tourism industry, ECS00000036, NODES, Cultural heritage, Culture and smart tourism, open tourism
Sustainability, Spoke 3 - Culture and tourism industry, ECS00000036, NODES, Cultural heritage, Culture and smart tourism, open tourism
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
