標題: Titlebook: Complex Networks & Their Applications XII; Proceedings of The T Hocine Cherifi,Luis M. Rocha,Murat Donduran Conference proceedings 2024 The [打印本頁] 作者: antihistamine 時間: 2025-3-21 19:05
書目名稱Complex Networks & Their Applications XII影響因子(影響力)
書目名稱Complex Networks & Their Applications XII影響因子(影響力)學科排名
書目名稱Complex Networks & Their Applications XII網(wǎng)絡公開度
書目名稱Complex Networks & Their Applications XII網(wǎng)絡公開度學科排名
書目名稱Complex Networks & Their Applications XII被引頻次
書目名稱Complex Networks & Their Applications XII被引頻次學科排名
書目名稱Complex Networks & Their Applications XII年度引用
書目名稱Complex Networks & Their Applications XII年度引用學科排名
書目名稱Complex Networks & Their Applications XII讀者反饋
書目名稱Complex Networks & Their Applications XII讀者反饋學科排名
作者: Processes 時間: 2025-3-21 20:53
Identifying Contextualized Focal Structures in?Multisource Social Networks by?Leveraging Knowledge Gus work has been able to apply knowledge graph (KG) and contextual focal structure analysis (CFSA) on multisource data to study situational awareness in public discussion and establish information propagation such as the Belt and Road Initiative (BRI). This research uses multisource data, a knowledg作者: 新星 時間: 2025-3-22 03:27
How Information Spreads Through Multi-layer Networks: A Case Study of?Rural Ugandaugh researchers increasingly acknowledge the presence of multiple layers and even measure them separately, little is known about whether and how different layers . differently. We conducted a field experiment in twelve villages in rural Uganda that measured real multi-layer social networks and then 作者: 兵團 時間: 2025-3-22 08:30 作者: 粗魯性質 時間: 2025-3-22 09:49 作者: 逢迎春日 時間: 2025-3-22 15:44
Influence Robustness of?Nodes in?Multiplex Networks Against Attacks the network against cascading attacks. However, very little research has been done to investigate the robustness of nodes in multiplex networks against targeted attacks. In this paper, we first propose a new measure, ., to calculate the global influence of nodes in a multiplex network. The measure 作者: 逢迎春日 時間: 2025-3-22 19:50 作者: maverick 時間: 2025-3-22 22:27 作者: TERRA 時間: 2025-3-23 05:08 作者: palpitate 時間: 2025-3-23 05:36
Non Parametric Differential Network Analysis for?Biological DataDNA) aims to investigate the rewiring of gene and protein networks. DNA algorithms combine statistical learning and graph theory to explore the changes in the interaction patterns starting from experimental observation. Despite there exist many methods to model rewiring in networks, we propose to us作者: 起來了 時間: 2025-3-23 13:04
Bowlership: Examining the?Existence of?Bowler Synergies in?Cricket partnerships have been analysed extensively. In this paper, we introduce and precisely define bowling partnerships. We explain their importance, and analyse ball-by-ball data from three formats of the game: 2,034 one-day international matches, 634 Test matches and 1,432 Twenty-20 international matc作者: Classify 時間: 2025-3-23 14:00 作者: 我不重要 時間: 2025-3-23 18:07 作者: nephritis 時間: 2025-3-24 00:17
https://doi.org/10.1007/978-3-319-97232-9topic. For the document-document instance, we used topics and entities and topic overlaps to establish a relationship while we used co-occurrence for the topic-topic instance. The study identified 276 focal sets; the top two focal sets are focal sets 275 and 276. The most important focal content com作者: 宏偉 時間: 2025-3-24 05:16 作者: Hiatal-Hernia 時間: 2025-3-24 09:38 作者: chlorosis 時間: 2025-3-24 13:33
Studies in Systems, Decision and Controlify the differential networks between males and females in public expression datasets related to mellitus diabetes in liver tissue. Results show that this method can find biologically relevant differential networks.作者: 閑聊 時間: 2025-3-24 16:42
Eigenvector Centrality for?Multilayer Networks with?Dependent Node Importanceure inter-layer dependencies. For our model, constrained, layer-specific eigenvector centrality values are defined by a system of independent eigenvalue problems and dependent pseudo-eigenvalue problems, whose solution can be efficiently realized using an interleaved power iteration algorithm. An R 作者: ALT 時間: 2025-3-24 19:32 作者: 廚房里面 時間: 2025-3-24 23:37
Generalized Densest Subgraph in?Multiplex Networkstwo variables . and ., that can (1) consider different importance weights for each relation type, and (2) change the emphasis on the larger/smaller degrees, depending on the application. Due to the NP-hardness of this problem, we first extend the FirmCore, .-core counterpart in multiplex graphs, to 作者: 倔強不能 時間: 2025-3-25 04:10
Score and?Rank Semi-monotonicity for?Closeness, Betweenness and?Harmonic Centralityts of a new edge is required to enjoy score or rank monotonicity. We show that this condition is satisfied by closeness and betweenness centrality, and that harmonic centrality satisfies it in an even stronger sense.作者: 夾克怕包裹 時間: 2025-3-25 11:13 作者: Commonwealth 時間: 2025-3-25 14:55
https://doi.org/10.1007/978-3-319-97232-9 Specifically, we consider a multilayer network defined by multiple edge-weighted, potentially directed, graphs over the same set of nodes with each graph representing one layer of the network and no inter-layer edges. As in the standard eigenvector centrality construction, the importance of each no作者: Condescending 時間: 2025-3-25 18:39 作者: minion 時間: 2025-3-25 21:54
https://doi.org/10.1007/978-3-319-97232-9ugh researchers increasingly acknowledge the presence of multiple layers and even measure them separately, little is known about whether and how different layers . differently. We conducted a field experiment in twelve villages in rural Uganda that measured real multi-layer social networks and then 作者: Panacea 時間: 2025-3-26 00:48 作者: ABYSS 時間: 2025-3-26 08:15
https://doi.org/10.1007/978-3-319-97232-9s and its many practical applications over the last five decades. However, most existing studies have focused on graphs with a single type of connection. In applications such as biological, social, and transportation networks, interactions between objects span multiple aspects, yielding multiplex gr作者: Ballad 時間: 2025-3-26 11:12 作者: 胖人手藝好 時間: 2025-3-26 13:59
https://doi.org/10.1007/978-3-642-51526-2tworks capture complex data relationships and have a wide range of applications. As they get to be used with ever larger quantities of data, it is crucial to find efficient ways to represent and analyse them. This paper introduces the concept of Prime Adjacency Matrices (PAMs), which utilize prime n作者: venous-leak 時間: 2025-3-26 20:05 作者: 令人苦惱 時間: 2025-3-26 22:26
Bijnan Bandyopadhyay,Shyam Kamalf the target of the arc; . means that adding an arc improves the importance of the target of the arc relative to the remaining nodes. It is known?[., .] that score and rank monotonicity hold in directed graphs for almost all the classical centrality measures. In undirected graphs one expects that th作者: 招募 時間: 2025-3-27 04:51
Studies in Systems, Decision and ControlDNA) aims to investigate the rewiring of gene and protein networks. DNA algorithms combine statistical learning and graph theory to explore the changes in the interaction patterns starting from experimental observation. Despite there exist many methods to model rewiring in networks, we propose to us作者: 煩人 時間: 2025-3-27 06:59 作者: 勛章 時間: 2025-3-27 10:53 作者: 咽下 時間: 2025-3-27 14:10
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/231491.jpg作者: 難聽的聲音 時間: 2025-3-27 21:05 作者: 襲擊 時間: 2025-3-28 00:58
https://doi.org/10.1007/978-3-031-53472-0Complex Networks; Complex Networks 2023; Network Models; Network Dynamics; Network Analysis作者: 疼死我了 時間: 2025-3-28 02:44
978-3-031-53474-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: paleolithic 時間: 2025-3-28 10:02
https://doi.org/10.1007/978-3-642-51526-2 a complete multi-relational graph, using a single adjacency matrix. Moreover, this representation enables the fast computation of multi-hop adjacency matrices, which can be useful for a variety of downstream tasks. We illustrate the benefits of using the proposed approach through various network analysis tasks.作者: 系列 時間: 2025-3-28 11:28 作者: 極肥胖 時間: 2025-3-28 17:03 作者: Metastasis 時間: 2025-3-28 21:10 作者: Cholesterol 時間: 2025-3-28 23:44 作者: 郊外 時間: 2025-3-29 04:35 作者: CLAP 時間: 2025-3-29 09:00 作者: headway 時間: 2025-3-29 13:49 作者: syncope 時間: 2025-3-29 18:47
Bijnan Bandyopadhyay,Shyam Kamalring a wide range of network sizes and .-median values. While individual results vary, a few methods provide consistently good results. We draw general conclusions about how algorithms perform in practice and provide general guidelines for solutions.
