Titlebook: Complex Networks X; Proceedings of the 1 Sean P. Cornelius,Clara Granell Martorell,Bruno Go Conference proceedings 2019 Springer Nature Swi

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Modelling Students’ Thematically Associated Knowledge: Networked Knowledge from Affinity Statisticsnity distribution of such knowledge. The results show that in this case, under very general conditions, the network of associative knowledge is characterized by inverse power laws of degree, eigenvector, and betweenness centralities. These results agree with the empirically found properties of stude

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Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Predictionapplied on the top of a customer/supplier graph to improve default prediction. Our experiments performed with real-world data demonstrate that when graph metrics are calculated over standard directed and transformed undirected cocitation customer/supplier graphs and graph convolutional networks are

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Social Media Vocabulary Reveals Education Attainment of Populationsave a high population density. As a secondary contribution, the sampling method to calculate the vocabulary level in social media may also help using large twitter datasets in the context of social sensing.

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2213-8684 lar connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.  This text will appeal to students and researchers in the field. 978-3-030-14459-3Series ISSN 2213-8684 Series E-ISSN 2213-8692

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