DAUNT 发表于 2025-3-26 21:08:05

https://doi.org/10.1007/88-470-0382-2ry clique detected by traditional algorithms truly satisfies the sociological assumption above. Informally speaking, the approach presented in this paper assumes that each pair of clique nodes must be closer to each other and other clique nodes than to non-clique nodes. Using experiments with weight

Pituitary-Gland 发表于 2025-3-27 01:29:45

https://doi.org/10.1007/88-470-0382-2equently, we evaluate established dynamic community detection methods to uncover limitations that may not be evident in snapshots with slowly evolving communities. While no method emerges as a clear winner, we observe notable differences among them.

检查 发表于 2025-3-27 09:17:25

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Insul岛 发表于 2025-3-27 12:45:15

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labile 发表于 2025-3-27 14:58:43

https://doi.org/10.1007/978-3-8348-9399-4to as social influence or contagion) is believed to act between units (e.g., hospitals) above the level at which data is observed. We develop two hierarchical network autocorrelation models to represent peer effects between hospitals when modeling individual outcomes of the patients who attend those

FLAT 发表于 2025-3-27 20:09:02

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TRACE 发表于 2025-3-28 01:02:15

Marina V. Plekhanova,Guzel D. Baybulatovay partitions. It seems obvious that isolating high-modularity communities is a good way to prevent the spread of cascading failures. Here we develop a heuristic approach informed by Moore-Shannon network reliability that focuses on dynamics rather than topology. It defines communities directly in te

thrombus 发表于 2025-3-28 02:28:24

Murat Adıvar,Youssef N. Raffoulent a scaling inspired by the normalized Laplacian (NL) for graphs that can greatly improve the quality of a non-negative matrix factorization. The results parallel those in the spectral graph clustering work of [.], where the authors proved adjacency spectral embedding (ASE) spectral clustering was

ADORN 发表于 2025-3-28 07:02:17

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Aphorism 发表于 2025-3-28 11:42:15

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查看完整版本: Titlebook: Complex Networks & Their Applications XII; Proceedings of The T Hocine Cherifi,Luis M. Rocha,Murat Donduran Conference proceedings 2024 The