Archeologia e Calcolatori
Archeologia e Calcolatori
CNR - DIPARTIMENTO SCIENZE UMANE E SOCIALI, PATRIMONIO CULTURALE
ISTITUTO DI SCIENZE DEL PATRIMONIO CULTURALE
JOURNAL ESTABLISHED BY: Mauro Cristofani and Riccardo Francovich - EDITOR: Paola Moscati


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AuthorsCimadomo, P. - Galluccio, C. - Ragozini, G. -
TitleAnalisi delle reti e archeologia: il caso studio della Galilea
VolumeArcheologia e Calcolatori n. XXXI.1 - 2020
InISBN: > 978-88-9285-002-6
Pages77-96
DOIhttps://doi.org/10.19282/ac.31.1.2020.04
URLhttp://www.archcalc.cnr.it/indice/PDF31.1/04_Cimadomo_et_al.pdf
PublisherEdizioni All'Insegna del Giglio
SubjectSimulation AI
SubjectTheoretical and methodological problems
Abstract The area of Northern Israel has been a region of interest for archaeologists. Textual materials are various and useful to reconstruct the history of the region, as well as a lot of data coming from the material culture. This way, archaeologists may shed light on the complex framework of cultures that developed in this territory. In the period between the 1st century BCE and the 2nd century CE, the growing influence of the Romans generated a substantial integration of Galilee into a global context. Through the application of new types of analysis, it is possible to reconstruct cultural and commercial trades of the area. The application of network analysis to archaeological questions is a pivotal subject of scientific debate. In this work, we aim to reconstruct the dynamic connections between Jewish settlements in Galilee on the basis of consistent evidence, speculating on the presence of links whenever proof lacks. Data referring to many types of artefacts were derived from the analysis of scientific papers and archaeological excavation catalogues. This way we obtained a multiplex network in which the nodes are the sites and the links are given by the presence of the different artefacts. Here we present the first findings from an exploratory analysis. Visualization methods are exploited, such as multi-force embedding and multi-task network embedding algorithm. More specifically, the latter, which is based on link prediction, seems to be particularly suited for the data we are dealing with, in which the absence of a link could be due to missing data. Moreover, in order to consider how connections have changed over the reference period, a temporal approach is used. Multiplex network analysis can also be used to model dynamic networks where each layer corresponds to the network state at a given moment.
LanguageITFormatpdfTypetext
LicenseCC BY-NC-ND 4.0 International

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