Titlebook: Complex Networks XIII; Proceedings of the 1 Diogo Pacheco,Andreia Sofia Teixeira,Giuseppe Mang Conference proceedings 2022 The Editor(s) (i

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A Data-Driven Approach to Cattle Epidemic Modelling Under Uncertainty,est producers in the world (e.g. Brazil, Mexico, USA), do not mandate such use, and some do not even mandate the tracking of animal movement (e.g. Mexico, USA). Added to this, the lack of tracking capabilities enable people to take advantage of the system by engaging in unregulated cattle trade. The

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Extracting Characteristic Areas Based on Topic Distribution over Proximity Tree,xisting methods in terms of semantic cohesiveness with similar feature distribution and positional cohesiveness with close shooting positions. Furthermore, compared with the feature distribution of the entire target region, the evaluation is made from the viewpoint of whether each divided area has a

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2213-8684 rmational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate..978-3-031-17660-9978-3-031-17658-6Series ISSN 2213-8684 Series E-ISSN 2213-8692

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https://doi.org/10.1007/978-3-662-15905-7re isolated one after the other from the world air transportation network. Additionally, although the Betweenness attack effectively splits the network, its impact on regional routes is less pronounced.

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