Overthrow 发表于 2025-3-28 15:10:26
Kölner Schriften zum Medizinrechtld 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 indeeLumbar-Stenosis 发表于 2025-3-28 22:49:35
http://reply.papertrans.cn/16/1532/153186/153186_42.pngMuscularis 发表于 2025-3-29 01:39:40
http://reply.papertrans.cn/16/1532/153186/153186_43.png来自于 发表于 2025-3-29 05:38:52
Die Regelungslücke – Schlussbemerkungalysis 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 deterministiatrophy 发表于 2025-3-29 10:25:34
,Correcting for Granularity Bias in Modularity-Based Community Detection Methods,controls the granularity of the resulting clustering. Moreover, one can choose this parameter in such a way that modularity maximization becomes equivalent to maximizing the likelihood of a stochastic block model. Thus, this method is statistically justified, while at the same time, it is known to hFACET 发表于 2025-3-29 13:13:02
http://reply.papertrans.cn/16/1532/153186/153186_46.pngprediabetes 发表于 2025-3-29 18:50:49
http://reply.papertrans.cn/16/1532/153186/153186_47.png串通 发表于 2025-3-29 22:52:17
http://reply.papertrans.cn/16/1532/153186/153186_48.png针叶 发表于 2025-3-30 01:04:36
,Establishing Herd Immunity is Hard Even in Simple Geometric Networks, disease spreads in the network from infected to healthy individuals such that a healthy individual gets infected if and only if a sufficient number of its direct neighbours are already infected..We represent the social network as a graph. Inspired by the real-world restrictions in the current epide品牌 发表于 2025-3-30 04:26:41
,Multilayer Hypergraph Clustering Using the Aggregate Similarity Matrix,ndependent realization of a .-uniform HSBM on . vertices. Given the similarity matrix containing the aggregated number of hyperedges incident to each pair of vertices, the goal is to obtain a partition of the . vertices into disjoint communities. In this work, we investigate a semidefinite programmi