Document - A topological perspective of port networks from three years (2017-2019) of AIS Data

2022

Conference article Open Access

A topological perspective of port networks from three years (2017-2019) of AIS Data

Carlini E., De Lira V. M., Soares A., Etemad M., Brandoli B., Matwin S.

Automatic Identification System Graph Analysis Time series

Complex network analysis is a fundamental tool to understand non-trivial aspects of graphs and networks and is widely used in many fields. In this paper, we apply complex network techniques to study port networks, in which nodes are ports and edges are maritime lines between ports. In particular, we study the temporal evolution of several topological features of a network of ports, including connected components, shortest paths, and clustering coefficients. We built the network with three years of Automatic Identification System data from 2017 to 2019. We highlight several interesting trends and behaviors that differentiate long-range vessels from short-range vessels.

Source: SEBD 2022 - 30th Italian Symposium on Advanced Database Systems, pp. 268–275, Tirrenia, Pisa, Italy, 19-22/06/2022

Back to previous page

Cite as

BibTeX entry

@inproceedings{oai:it.cnr:prodotti:471871,
	title = {A topological perspective of port networks from three years (2017-2019) of AIS Data},
	author = {Carlini E. and De Lira V. M. and Soares A. and Etemad M. and Brandoli B. and Matwin S.},
	booktitle = {SEBD 2022 - 30th Italian Symposium on Advanced Database Systems, pp. 268–275, Tirrenia, Pisa, Italy, 19-22/06/2022},
	year = {2022}
}