Torres Sospedra, JoaquínPinheiro, Flávio Luís PortasCunietti, Stefano2022-03-232022-03-232022-03-05http://hdl.handle.net/10362/135045Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesSocial networks are now an increasingly used tool, but analysis possibilities have not yet been fully exploited. In particular, the extraction of information from users' profiles and their processing could give different information. In this work we will focus on the possibilities of using this information to analyse the patterns of rural spaces. The work will be carried out through a review of the available bibliography on the topic, the construction of an application, and the subsequent analysis of the data extracted through the application. Based on the findings, suggestions are made about the intensity of people within an area or the changes that have occurred in social activities.engsocial mediassocial medias scrapingInstagramnetwork analysisSklearnGEPHIIdentify popular hotspots through the analysis of movement patterns from social networks in rural areas: Case study of the Borbera Valley in North Italymaster thesis202970752