Titlebook: Complex Networks & Their Applications IX; Volume 2, Proceeding Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo Conference proceedings 2021

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https://doi.org/10.1007/978-3-642-80994-1sifier, able to efficiently identify bots in Twitter. We also propose a validation methodology that verifies the ability of the classifier in identifying bots that are actually suspended by Twitter. We apply our methodology to the context of two real-world discussion, regarding STF (the Supreme Cour

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Yeol Je Cho,Choonkil Park,Reza Saadatias it helps to provide meaningful and personalised recommendations catering to the individual’s health needs. With recent advances in representation learning enabling the hierarchical embedding of health knowledge into the hyperbolic Poincaré space, this work proposes a content-based recommender sys

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https://doi.org/10.1007/978-3-319-18708-2the-art deep learning method for image classification since these models are naturally suited to problems where the coordinates of the underlying data representation have a grid structure. On the other hand, in recent years, there is a growing interest in mapping data from different domains to graph

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Springer Optimization and Its Applicationslop efficient methods that can provide insights into emerging content areas, and stratify unstructured corpora of text into ‘topics’ that stem intrinsically from content similarity. Here we present an unsupervised framework that brings together powerful vector embeddings from natural language proces

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https://doi.org/10.1007/978-1-4614-8477-6aches the targeted network coverage, where threshold rules determine the outcome of influence. This problem is NP-hard and it has generated a significant amount of recent research on finding efficient heuristics. We focus on a . algorithm that relies on three parameters to tune its performance to th

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Stability of Linear Periodic Equations for mimicking real-world airline transportation systems, synthetic models for airline network generation can be helpful in a variety of tasks, such as simulation and optimization of the growth of the network system, analysis of its vulnerability or strategic placement of airports. In this paper, we