MedievalAvignon: Confront Networks of the City of Avignon During Papacy

Description. This repository contains several confront networks representing Avignon, as well as the many plots and statistics describing these networks. These files were produced by the R scripts written by Vincent Labatut, and available on the GitHub repository associated to this dataset. The input files of this processing are extracted from the historical and geographical database constituted by Margot Ferrand during her PhD [1], they are available in the GitHub repository. Note that the names of the networks are not exactly the same as in [1] and [2], because our terminology evolved through time: cf. file method_names.txt to get the various names. The network that best represents the urban space, according to the criteria selected in [1, 2], is split_ext__flat_minus_311_filtered. Publications. The methods proposed to extract the graphs and produce the plots and statistics are abundantly discussed in manuscript [1], whereas a shorter and more synthetic description is available in article [2]: M. Ferrand. Usages et représentations de l'espace urbain médiéval : Approche interdisciplinaire et exploration de données géo-historiques d’Avignon à la fin du Moyen Âge, PhD. Thesis, Avignon University, 2022. Web Page M. Ferrand and V. Labatut. Approximating Spatial Distance Through Confront Networks: Application to the Segmentation of Medieval Avignon. Journal of Complex Networks, in press, 2024. DOI: xxxxxx ⟨hal-04786705⟩ Citation. If you use the original, raw data, please cite manuscript [1]. If you use the files available in this repository (in particular the network files), produced by our R scripts based on the raw data, please cite article [2]: @Article{Ferrand2024, author = {Ferrand, Margot and Labatut, Vincent}, title = {Approximating Spatial Distance Through Confront Networks: Application to the Segmentation of Medieval {A}vignon}, journal = {Journal of Complex Networks}, year = {2024}, volume = {in press},} Funding. This work was funded by the research federation Agorantic (FR 3621) through Margot Ferrand's PhD. fellowship, and through the HistoGraph research project.