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

Palpitation

https://doi.org/10.1007/978-3-662-15942-2est 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

TEN

badinage

Targeted Attacks on the World Air Transportation Network: Impact on Its Regional Structure,o targeted attacks is essential. The literature reports numerous investigations at different levels (world, regional, airline) considering various targeted attack strategies. However, few works consider the mesoscopic organization of the network. To fill this gap, we rely on the component structure

agitate

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HARD

Investigating the Origins of Fractality Based on Two Novel Fractal Network Models,o better understand the growing mechanism and structural characteristics of fractal networks. The Repulsion Based Fractal Model (RBFM) is built on the well-known Song-Havlin-Makse (SHM) model, but in RBFM repulsion is always present among a specific group of nodes. The model resolves the contradicti

Aphorism

notion

傲慢物

Co-Attention Based Multi-contextual Fake News Detection,ews on social media using the content of the microblogs and news-propagation network. In this work, we propose a method, named FND-NUP (.ake .ews .etection with .ews content, .ser profiles and .ropagation networks), to detect fake news using users’ profile features, fake news content, and the propag

FACT

Correlation Financial Networks of an Unstable Stock Market: Empirical Study,s for two companies that share a common cause may be spuriously correlated. To avoid this, it is suggested to use a partial correlation. This paper is devoted to the analysis of the dynamics of the Pearson correlation network and the partial correlation network based on the Russian stock market asse