標(biāo)題: Titlebook: Algorithms and Models for the Web Graph; 18th International W Megan Dewar,Pawe? Pra?at,Ma?gorzata Wrzosek Conference proceedings 2023 The E [打印本頁] 作者: otitis-externa 時(shí)間: 2025-3-21 19:02
書目名稱Algorithms and Models for the Web Graph影響因子(影響力)
書目名稱Algorithms and Models for the Web Graph影響因子(影響力)學(xué)科排名
書目名稱Algorithms and Models for the Web Graph網(wǎng)絡(luò)公開度
書目名稱Algorithms and Models for the Web Graph網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Algorithms and Models for the Web Graph被引頻次學(xué)科排名
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書目名稱Algorithms and Models for the Web Graph年度引用學(xué)科排名
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書目名稱Algorithms and Models for the Web Graph讀者反饋學(xué)科排名
作者: 憎惡 時(shí)間: 2025-3-21 22:47
Algorithms and Models for the Web Graph978-3-031-32296-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Adrenal-Glands 時(shí)間: 2025-3-22 03:24 作者: 四海為家的人 時(shí)間: 2025-3-22 05:34
Das EU-Wettbewerbs- und Antidumpingrechtffects into the model without any geometric conditions. We show that random clustering graphs can yield graphs with a power-law expected degree sequence, small diameter, and any desired clustering coefficient. Our results follow from a general theorem on subgraph counts which may be of independent interest.作者: watertight, 時(shí)間: 2025-3-22 08:47 作者: 類型 時(shí)間: 2025-3-22 16:22 作者: 主動(dòng) 時(shí)間: 2025-3-22 19:44 作者: Antigen 時(shí)間: 2025-3-23 01:14 作者: Exposure 時(shí)間: 2025-3-23 02:32
Das EU-Beihilfe- und Subventionsrecht 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作者: conduct 時(shí)間: 2025-3-23 07:05 作者: extinguish 時(shí)間: 2025-3-23 12:16
Das EU-Beihilfe- und Subventionsrechttion suggests that, compared to random graphs of the same size, scale-free networks are more robust against random failures but more vulnerable to targeted attacks. Here, we report on experiments on a comprehensive collection of networks across different domains that assess the empirical prevalence 作者: Cupidity 時(shí)間: 2025-3-23 14:04 作者: Lethargic 時(shí)間: 2025-3-23 20:17
Das EU-Wettbewerbs- und Antidumpingrechtapable of capturing multi-way connections. As such, they have become an integral part of network science. A common use of hypergraphs is to model events as hyperedges in which the event can involve many elements as nodes. This provides a more complete picture of the event, which is not limited by th作者: cognizant 時(shí)間: 2025-3-23 22:30 作者: 方便 時(shí)間: 2025-3-24 04:51
Die Regelungslücke – Schlussbemerkung to. The opinion percolates down from an active vertex, the influencer, at the head of the group. Groups can merge, based on interactions between influencers (i.e., interactions along ‘a(chǎn)ctive edges’ of the network), so that the number of opinions is reduced. Eventually no active edges remain, and th作者: Cougar 時(shí)間: 2025-3-24 09:42 作者: 阻撓 時(shí)間: 2025-3-24 13:39
https://doi.org/10.1007/978-3-031-32296-9graph algorithms; clustering; collaborative filtering; structural properties; routing optimization; patte作者: malapropism 時(shí)間: 2025-3-24 18:23
978-3-031-32295-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 樂章 時(shí)間: 2025-3-24 21:20 作者: 發(fā)誓放棄 時(shí)間: 2025-3-25 01:53 作者: 幾何學(xué)家 時(shí)間: 2025-3-25 03:42
Conference proceedings 2023, in May 23–26, 2023.The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs..作者: Hla461 時(shí)間: 2025-3-25 10:51 作者: 陶瓷 時(shí)間: 2025-3-25 12:36 作者: 白楊 時(shí)間: 2025-3-25 18:59
Die Regelungslücke – Schlussbemerkungpair of vertices, the goal is to obtain a partition of the . vertices into disjoint communities. In this work, we investigate a semidefinite programming (SDP) approach and obtain information–theoretic conditions on the model parameters that guarantee exact recovery both in the assortative and the disassortative cases.作者: Explicate 時(shí)間: 2025-3-25 22:00 作者: 強(qiáng)壯 時(shí)間: 2025-3-26 01:36 作者: Self-Help-Group 時(shí)間: 2025-3-26 05:33 作者: 使入迷 時(shí)間: 2025-3-26 10:14 作者: 冬眠 時(shí)間: 2025-3-26 13:23 作者: 協(xié)迫 時(shí)間: 2025-3-26 17:34
,The Iterated Local Transitivity Model for?Tournaments,l 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.作者: decipher 時(shí)間: 2025-3-26 23:06 作者: anagen 時(shí)間: 2025-3-27 02:12
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.作者: 淘氣 時(shí)間: 2025-3-27 06:08 作者: Obliterate 時(shí)間: 2025-3-27 13:09
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.作者: 帶子 時(shí)間: 2025-3-27 14:26 作者: GONG 時(shí)間: 2025-3-27 21:28 作者: filicide 時(shí)間: 2025-3-27 23:51
,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作者: 確保 時(shí)間: 2025-3-28 03:14 作者: sleep-spindles 時(shí)間: 2025-3-28 06:54 作者: Accessible 時(shí)間: 2025-3-28 11:16
,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作者: Overthrow 時(shí)間: 2025-3-28 15:10
K?lner 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 indee作者: Lumbar-Stenosis 時(shí)間: 2025-3-28 22:49 作者: Muscularis 時(shí)間: 2025-3-29 01:39 作者: 來自于 時(shí)間: 2025-3-29 05:38
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 deterministi作者: atrophy 時(shí)間: 2025-3-29 10:25
,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 h作者: FACET 時(shí)間: 2025-3-29 13:13 作者: prediabetes 時(shí)間: 2025-3-29 18:50 作者: 串通 時(shí)間: 2025-3-29 22:52 作者: 針葉 時(shí)間: 2025-3-30 01:04
,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作者: 品牌 時(shí)間: 2025-3-30 04:26
,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
