Identification of patterns for space-time event networks
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Otros documentos de la autoría: Forero Sanabria, Alan Miguel; Bohorquez Castañeda, Martha Patricia; Rentería Ramos, Rafael Ricardo; Mateu, Jorge
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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INVESTIGACIONMetadatos
Título
Identification of patterns for space-time event networksAutoría
Fecha de publicación
2022Editor
SpringerISSN
2364-8228Cita bibliográfica
Sanabria, A.M.F., Castañeda, M.P.B., Ramos, R.R.R. et al. Identification of patterns for space-time event networks. Appl Netw Sci 7, 3 (2022). https://doi.org/10.1007/s41109-021-00442-yTipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00442-yVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This paper provides new tools for analyzing spatio-temporal event networks. We build time series of directed event networks for a set of spatial distances, and based on scan-statistics, the spatial distance that ... [+]
This paper provides new tools for analyzing spatio-temporal event networks. We build time series of directed event networks for a set of spatial distances, and based on scan-statistics, the spatial distance that generates the strongest change of event network connections is chosen. In addition, we propose an empirical random network event generator to detect significant motifs throughout time. This generator preserves the spatial configuration but randomizes the order of the occurrence of events. To prevent the large number of links from masking the count of motifs, we propose using standardized counts of motifs at each time slot. Our methodology is able to detect interaction radius in space, build time series of networks, and describe changes in its topology over time, by means of identification of different types of motifs that allows for the understanding of the spatio-temporal dynamics of the phenomena. We illustrate our methodology by analyzing thefts occurred in Medellín (Colombia) between the years 2003 and 2015. [-]
Publicado en
Applied Network Science, 2022, vol. 7, no 1Entidad financiadora
Red de Violencia y Criminalidad - Universidad Nacional Abierta y a Distancia UNAD | Universidad Nacional de Colombia
Derechos de acceso
info:eu-repo/semantics/openAccess
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