Titlebook: Complex Networks XV; Proceedings of the 1 Federico Botta,Mariana Macedo,Ronaldo Menezes Conference proceedings 2024 The Editor(s) (if appli

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Narrative

Theoretical and Experiment Principles,nal units. Recently, its extraction has been performed on higher-order networks, but due to the complexity arising from polyadic interactions, and the similarity with known computationally hard problems, its practical application is limited. Our main contribution is a novel approach for hyper-subgra

女上瘾

Theoretical and Experimental Principles,, more in general, for their impact in the geopolitical sphere. Many studies try to understand the determinants and dynamics of trade flows. However, only a few have leveraged the growing availability of granular data to consistently analyze specific sectors of the economy and address the challenges

Harridan

Theoretical and Experimental Principles,amework for systematic evaluation of the expressivity of random graph models. We extend this framework to Geometric Inhomogeneous Random Graphs (GIRGs). This includes a family of graphs induced by non-metric distance functions which allow capturing more complex models of partial similarity between n

人类

Theoretical and Experimental Principles,ame time, some can resemble similar computational performances regardless of their inspirations. To understand the mechanisms of such similarities, recent works have analyzed and compared swarm-based algorithms via a network based on the information flow shared collectively. Here, we modeled network

tangle

背带

https://doi.org/10.1007/978-3-540-70708-0in the realm of knowledge evolution and organisation. To that end, we look at using concept networks to capture the associations between these concepts as a domain grows. We compare concept networks as they grow for scientific domains, sci-fi literature, common news topics and science news, using Qu

squander

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