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

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樓主: Dangle
21#
發(fā)表于 2025-3-25 05:07:59 | 只看該作者
Signature-Based Community Detection for?Time Seriesnderlying time series is manipulated..This research contributes to the field of community detection by introducing a signature-based similarity measure, offering an alternative to conventional correlation matrices.
22#
發(fā)表于 2025-3-25 10:57:30 | 只看該作者
23#
發(fā)表于 2025-3-25 11:54:24 | 只看該作者
Detecting Strong Cliques in?Co-authorship Networksry 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
24#
發(fā)表于 2025-3-25 18:44:10 | 只看該作者
Mosaic Benchmark Networks: Modular Link Streams for?Testing Dynamic Community Detection Algorithmsequently, 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.
25#
發(fā)表于 2025-3-26 00:01:09 | 只看該作者
26#
發(fā)表于 2025-3-26 02:18:40 | 只看該作者
27#
發(fā)表于 2025-3-26 08:12:40 | 只看該作者
28#
發(fā)表于 2025-3-26 09:43:53 | 只看該作者
https://doi.org/10.1007/88-470-0382-2 for knowledge integration, specifically within “hotspot” topics. It also reveals gaps in IDR potential. Applying our network-based methodology for understanding IDR could enable other research domains and communities to conduct early and rapid analyses of the emerging IDR profile in their network,
29#
發(fā)表于 2025-3-26 15:31:47 | 只看該作者
30#
發(fā)表于 2025-3-26 17:25:29 | 只看該作者
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