Titlebook: Algorithms and Models for the Web Graph; 18th International W Megan Dewar,Pawe? Pra?at,Ma?gorzata Wrzosek Conference proceedings 2023 The E

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Das EU-Beihilfe- und Subventionsrechtism to adjust the weights in the modularity function (in an unsupervised way), depending on how often nodes in one community share hyperedges with nodes from other communities. It will be done in the journal version of this paper.

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Die Regelungslücke – Schlussbemerkungl average distances as observed in real-world complex networks. We explore properties of small subtournaments or motifs in the ILTT model and study its graph-theoretic properties, such as Hamilton cycles, spectral properties, and domination numbers. We finish with a set of open problems and the next steps for the ILTT model.

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,Correcting for?Granularity Bias in?Modularity-Based Community Detection Methods,ld in many instances. We prove that, assuming the validity of this relation, our heuristic leads to a clustering of the same granularity as the ground-truth clustering. We compare our heuristic to likelihood-based community detection methods on several synthetic graphs and show that our method indee

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,A Simple Model of?Influence,alysis for the same network when there are two types of influencers. Independent ones as described above, and stubborn vertices (dictators) who accept followers, but never follow. This leads to a reduction in the number of independent influencers as the network density increases. In the deterministi

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