標(biāo)題: Titlebook: Complex Networks XIV; Proceedings of the 1 Andreia Sofia Teixeira,Federico Botta,Giuseppe Man Conference proceedings 2023 The Editor(s) (if [打印本頁] 作者: Julienne 時(shí)間: 2025-3-21 18:39
書目名稱Complex Networks XIV影響因子(影響力)
書目名稱Complex Networks XIV影響因子(影響力)學(xué)科排名
書目名稱Complex Networks XIV網(wǎng)絡(luò)公開度
書目名稱Complex Networks XIV網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complex Networks XIV被引頻次
書目名稱Complex Networks XIV被引頻次學(xué)科排名
書目名稱Complex Networks XIV年度引用
書目名稱Complex Networks XIV年度引用學(xué)科排名
書目名稱Complex Networks XIV讀者反饋
書目名稱Complex Networks XIV讀者反饋學(xué)科排名
作者: palette 時(shí)間: 2025-3-21 21:39
Springer Proceedings in Complexityhttp://image.papertrans.cn/c/image/231502.jpg作者: inventory 時(shí)間: 2025-3-22 00:50 作者: HAWK 時(shí)間: 2025-3-22 06:38
https://doi.org/10.1007/0-387-33745-8 studied navigation strategies we obtained theoretical and numerical values for the graph mean first passage times as an indicator for the searching efficiency. The experiments with generated and real networks show that biasing based on inverse degree, persistence and local two-hop paths can lead to作者: Barter 時(shí)間: 2025-3-22 09:06 作者: 有雜色 時(shí)間: 2025-3-22 15:51
https://doi.org/10.1007/0-387-33745-8iations between transcription factors and target genes, are responsible for representing and controlling this gene expression and regulate the response of an organism to environmental changes. In this paper, we extend the study of these systems by applying different community detection algorithms on作者: 有雜色 時(shí)間: 2025-3-22 19:49 作者: photopsia 時(shí)間: 2025-3-22 22:49
Isotope Notation and Measurement,o a centrality measure and remove top nodes according to a budget. The goal is to exploit the network features efficiently to dismantle them with a minimal budget. Few works are linked to the network mesoscopic properties in the literature, although it is well-admitted that communities or core-perip作者: Atrium 時(shí)間: 2025-3-23 02:32 作者: 云狀 時(shí)間: 2025-3-23 08:39
Isotopic Properties of Selected Elements,M, a trainable algorithm for network dismantling via node-removal. The approach is based on Geometric Deep Learning and that merges the Graph Dismantling Machine (GDM)?[.] framework with the CoreHD?[.] algorithm, by attacking the 2-core of the network using a learnable score function in place of the作者: fatty-streak 時(shí)間: 2025-3-23 11:43 作者: BOLUS 時(shí)間: 2025-3-23 17:43 作者: 點(diǎn)燃 時(shí)間: 2025-3-23 18:29 作者: forbid 時(shí)間: 2025-3-23 22:56 作者: Default 時(shí)間: 2025-3-24 03:00 作者: homocysteine 時(shí)間: 2025-3-24 08:51 作者: enormous 時(shí)間: 2025-3-24 10:43
978-3-031-28278-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Intend 時(shí)間: 2025-3-24 18:55 作者: 纖細(xì) 時(shí)間: 2025-3-24 20:59
Isotope Notation and Measurement,larity decreased. We show that even though EEG and fMRI functional connectomes are slightly linked, the two modalities essentially capture different information over time, with most but not all topology being explained by the underlying spatial embedding.作者: conception 時(shí)間: 2025-3-25 02:22 作者: antiquated 時(shí)間: 2025-3-25 04:58 作者: ANT 時(shí)間: 2025-3-25 10:25 作者: 愛得痛了 時(shí)間: 2025-3-25 13:02
Isotopic Properties of Selected Elements,ive accuracy is reduced when a model trained on data before the invasion is evaluated on data after the invasion—instead of being evaluated on data before the invasion. We observe that the crisis event leads to an increased fraction of viral tweets by users with fewer followers after the invasion. M作者: Ferritin 時(shí)間: 2025-3-25 18:20 作者: LVAD360 時(shí)間: 2025-3-25 20:14 作者: 颶風(fēng) 時(shí)間: 2025-3-26 02:59 作者: 龍蝦 時(shí)間: 2025-3-26 06:01
,Community Structure in?Transcriptional Regulatory Networks of?Yeast Species,f the resulting structures, and then, assess the quality of the retrieved modules from a biological point of view using available annotated species’ biological functions. Finally, we apply a multilayer community detection algorithm on multilayer networks, where each layer is an individual yeast netw作者: 無力更進(jìn) 時(shí)間: 2025-3-26 08:55 作者: VEN 時(shí)間: 2025-3-26 14:25
,The Effect of?Link Recommendation Algorithms on?Network Centrality Disparities,evious works, we observe that SALSA can reduce the relative degree centrality of a minority group in a network, when both groups are homophilic. A similar conclusion is observed for BC. Conversely, we observe that CC of both minority and majority groups increases after SALSA recommendations are foll作者: Felicitous 時(shí)間: 2025-3-26 20:50 作者: 座右銘 時(shí)間: 2025-3-26 22:22 作者: 大喘氣 時(shí)間: 2025-3-27 02:23
2213-8684 plore and celebrate..The audience of the work are professionals and academics working in Network Science, a highly-multidisciplinary field..978-3-031-28278-2978-3-031-28276-8Series ISSN 2213-8684 Series E-ISSN 2213-8692 作者: Liberate 時(shí)間: 2025-3-27 07:16 作者: Parley 時(shí)間: 2025-3-27 12:49 作者: AXIS 時(shí)間: 2025-3-27 16:24 作者: Rejuvenate 時(shí)間: 2025-3-27 19:28 作者: Middle-Ear 時(shí)間: 2025-3-27 22:57 作者: insecticide 時(shí)間: 2025-3-28 04:45 作者: 耕種 時(shí)間: 2025-3-28 06:39
https://doi.org/10.1007/0-387-33745-8 smaller searching times. Moreover, these biasing approaches can be combined to achieve a more robust random search strategy. Our findings can be applied in the modeling and solution of various real-world problems.作者: 拉開這車床 時(shí)間: 2025-3-28 11:41 作者: 裙帶關(guān)系 時(shí)間: 2025-3-28 16:03 作者: GEN 時(shí)間: 2025-3-28 21:57 作者: 倫理學(xué) 時(shí)間: 2025-3-29 02:27 作者: 偏見 時(shí)間: 2025-3-29 03:44 作者: A精確的 時(shí)間: 2025-3-29 11:12
,Learned Monkeys: Emergent Properties of?Deep Reinforcement Learning Generated Networks,aracteristics of the proximity network constructed from an observational dataset. For example, our model-generated graph and the observed graph consistently showed a few members with significantly higher betweenness centrality than all other members despite each agent starting with the same parameters.作者: Ovulation 時(shí)間: 2025-3-29 11:49 作者: 恫嚇 時(shí)間: 2025-3-29 18:06 作者: HAIL 時(shí)間: 2025-3-29 19:46
,CoreGDM: Geometric Deep Learning Network Decycling and?Dismantling, degree-based one. Extensive experiments on fifteen real-world networks show that CoreGDM outperforms the original GDM formulation and the other state-of-the-art algorithms, while also being more computationally efficient.作者: 煩憂 時(shí)間: 2025-3-30 03:49 作者: 泥土謙卑 時(shí)間: 2025-3-30 07:33
,Brain’s Dynamic Functional Organization with?Simultaneous EEG-fMRI Networks,(EEG). Recent studies have suggested a link between the dynamic functional connectivity (dFC) captured by these two modalities, but the exact relationship between their spatiotemporal organization is still unclear. Since these networks are spatially embedded, a question arises whether the topologica作者: HAWK 時(shí)間: 2025-3-30 09:07
,Comparative Study of?Random Walks with?One-Step Memory on?Complex Networks, studied navigation strategies we obtained theoretical and numerical values for the graph mean first passage times as an indicator for the searching efficiency. The experiments with generated and real networks show that biasing based on inverse degree, persistence and local two-hop paths can lead to作者: lymphoma 時(shí)間: 2025-3-30 16:26
,Network Entropy as?a?Measure of?Socioeconomic Segregation in?Residential and?Employment Landscapes,ure obfuscates this potential, creating dense pockets of affluence and poverty throughout a region. The spatial distribution of job opportunities, and how it intersects with the residential landscape, is one of many such obstacles. In this paper, we apply global and local measures of entropy to the
