書目名稱Complex Networks & Their Applications VI影響因子(影響力)學(xué)科排名
書目名稱Complex Networks & Their Applications VI網(wǎng)絡(luò)公開度
書目名稱Complex Networks & Their Applications VI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complex Networks & Their Applications VI被引頻次
書目名稱Complex Networks & Their Applications VI被引頻次學(xué)科排名
書目名稱Complex Networks & Their Applications VI年度引用
書目名稱Complex Networks & Their Applications VI年度引用學(xué)科排名
書目名稱Complex Networks & Their Applications VI讀者反饋
書目名稱Complex Networks & Their Applications VI讀者反饋學(xué)科排名
作者: troponins 時間: 2025-3-21 22:01 作者: 入伍儀式 時間: 2025-3-22 01:06 作者: commonsense 時間: 2025-3-22 04:58
The Impact of Partially Missing Communities on the Reliability of Centrality Measuresity of centrality measures is severely affected by missing nodes. This paper investigates the reliability of centrality measures when missing nodes are likely to belong to the same community. We study the behavior of five commonly used centrality measures in uniform and scale-free networks in variou作者: MARS 時間: 2025-3-22 11:58
Consistent Estimation of Mixed Memberships with Successive Projectionsraph model allowing for overlapping community structure. We present the new algorithm . (SPOC) which combines the ideas of spectral clustering and geometric approach for separable non-negative matrix factorization. The proposed algorithm is provably consistent under MMSB with general conditions on t作者: Negotiate 時間: 2025-3-22 15:19 作者: Negotiate 時間: 2025-3-22 17:50 作者: 散開 時間: 2025-3-22 22:47 作者: Oration 時間: 2025-3-23 04:35
Efficient Outlier Detection in Hyperedge Streams Using MinHash and Locality-Sensitive Hashinge pairwise. In this work we address both of these limitations directly, and propose the first approach for mining outliers in hyperedge streams. Hyperedges, which generalize edges, faithfully capture higher order relationships that naturally occur in complex systems. Our model annotates every incomi作者: 歪曲道理 時間: 2025-3-23 09:07
Layer-Wise Model Stacking for Link Prediction in Multilayer Networks. Case of Scientific Collaborati to address. In this paper, we investigate the problem of link prediction in the multilayer scientific collaboration network. Our proposed solution alters the classic stacking technique for the supervised link prediction in terms of distribution of the training and testing data according to the stru作者: 冷峻 時間: 2025-3-23 11:39
Evolutionary Community Mining for Link Prediction in Dynamic Networksks) change temporally. In regards to time-evolving model in social network analyses, link prediction supports the understanding of the rationale behind the underlying growth mechanisms of social networks. Mining the temporal patterns of actor-level evolutionary changes in regards to their network ne作者: heterogeneous 時間: 2025-3-23 17:15 作者: Servile 時間: 2025-3-23 18:23 作者: WAIL 時間: 2025-3-24 02:10
Tracking Bitcoin Users Activity Using Community Detection on a Network of Weak Signalssers’ anonymity: while the Bitcoin protocol has been designed to ensure that the activity of individual users could not be tracked, some methods have been proposed to partially bypass this limitation. In this article, we show how the Bitcoin transaction network can be studied using complex networks 作者: Cryptic 時間: 2025-3-24 05:54 作者: Indigence 時間: 2025-3-24 06:36 作者: 拋媚眼 時間: 2025-3-24 11:35
1860-949X uding social and political networks; networks in finance and economics; biological and ecological networks and technological networks..978-3-319-89149-1978-3-319-72150-7Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: chalice 時間: 2025-3-24 16:38
https://doi.org/10.1007/BFb0039570r community structure. In contrast, we do not observe this effect for uniform networks. Our observations suggest that the impact of missing nodes on the reliability of centrality measures might not be as severe as the literature suggests.作者: 脫離 時間: 2025-3-24 20:41 作者: 書法 時間: 2025-3-25 02:11
https://doi.org/10.1007/BFb0039570ore etc.) could be considered as distance. In our analysis, we have primarily used degree centrality to denote the mass of the nodes, while the lengths of shortest paths between them have been used as distances. In this study we compare the proposed link prediction approach to 7 other methods on 4 d作者: 產(chǎn)生 時間: 2025-3-25 06:05
Additive-Quadratic Functional Equations,s were compared against an existing topological similarity-based link prediction metric. High-performance scores achieved by these dynamic feature, examined in this study, represent them as prospective candidates not only for dynamic link prediction task but also understanding of underlying network 作者: 字的誤用 時間: 2025-3-25 10:48 作者: hysterectomy 時間: 2025-3-25 12:09
https://doi.org/10.1007/b115033m that simultaneously optimizes the concept of motif conductance on all the layers. Simulations on several real-world traces show the superiority of our method with respect to existing motif-based methods for single-layer networks.作者: GONG 時間: 2025-3-25 16:10
The Impact of Partially Missing Communities on the Reliability of Centrality Measuresr community structure. In contrast, we do not observe this effect for uniform networks. Our observations suggest that the impact of missing nodes on the reliability of centrality measures might not be as severe as the literature suggests.作者: 陰謀 時間: 2025-3-25 23:59
Power Network Equivalents: A Network Science Based K-Means Clustering Method Integrated with Silhoues into clusters for network equivalence. To enhance the efficiency of clustering buses, AED-based improved .-means algorithm is incorporated into the proposed method. Also, silhouette analysis technique is combined with the algorithm to assign appropriate number of clusters to efficiently group buse作者: insightful 時間: 2025-3-26 02:18
Newton’s Gravitational Law for Link Prediction in Social Networksore etc.) could be considered as distance. In our analysis, we have primarily used degree centrality to denote the mass of the nodes, while the lengths of shortest paths between them have been used as distances. In this study we compare the proposed link prediction approach to 7 other methods on 4 d作者: Acetaminophen 時間: 2025-3-26 04:48
Evolutionary Community Mining for Link Prediction in Dynamic Networkss were compared against an existing topological similarity-based link prediction metric. High-performance scores achieved by these dynamic feature, examined in this study, represent them as prospective candidates not only for dynamic link prediction task but also understanding of underlying network 作者: 先鋒派 時間: 2025-3-26 12:08
Rank Aggregation for Course Sequence Discoverytment of Mathematics at the University of California, Los Angeles (UCLA). Furthermore, we experiment with the above approach on different subsets of the student population conditioned on final GPA, and highlight several differences in the obtained rankings that uncover potential hidden pre-requisite作者: 絕食 時間: 2025-3-26 14:02
Motif-Based Community Detection in Multiplex Networksm that simultaneously optimizes the concept of motif conductance on all the layers. Simulations on several real-world traces show the superiority of our method with respect to existing motif-based methods for single-layer networks.作者: 抗體 時間: 2025-3-26 20:51
,Er?ffnungsworte zum Josef-Stini-Kolloquium,ea. Two of the most important ways of addressing this problem are with approximated and distributed algorithms. It is difficult to know which approach will work best in practical situations, because results presented are often compared to similar algorithms, and universally recognized benchmarks do 作者: flaggy 時間: 2025-3-26 22:13 作者: 自作多情 時間: 2025-3-27 04:06 作者: stroke 時間: 2025-3-27 08:36
https://doi.org/10.1007/BFb0039570ity of centrality measures is severely affected by missing nodes. This paper investigates the reliability of centrality measures when missing nodes are likely to belong to the same community. We study the behavior of five commonly used centrality measures in uniform and scale-free networks in variou作者: stroke 時間: 2025-3-27 10:42
https://doi.org/10.1007/BFb0039570raph model allowing for overlapping community structure. We present the new algorithm . (SPOC) which combines the ideas of spectral clustering and geometric approach for separable non-negative matrix factorization. The proposed algorithm is provably consistent under MMSB with general conditions on t作者: 無動于衷 時間: 2025-3-27 14:47 作者: Visual-Acuity 時間: 2025-3-27 21:04
https://doi.org/10.1007/BFb0039570ing methods have been used for network equivalence to analyze the power transactions across the interconnections. However, the GSF-based methods are sensitive to location changes of slack bus since GSFs depend on the location of slack bus, which may increase the complexity of market analysis. In thi作者: meditation 時間: 2025-3-27 23:35 作者: shrill 時間: 2025-3-28 05:02 作者: 雜色 時間: 2025-3-28 07:32
https://doi.org/10.1007/BFb0039570 to address. In this paper, we investigate the problem of link prediction in the multilayer scientific collaboration network. Our proposed solution alters the classic stacking technique for the supervised link prediction in terms of distribution of the training and testing data according to the stru作者: 不在灌木叢中 時間: 2025-3-28 13:36
Additive-Quadratic Functional Equations,ks) change temporally. In regards to time-evolving model in social network analyses, link prediction supports the understanding of the rationale behind the underlying growth mechanisms of social networks. Mining the temporal patterns of actor-level evolutionary changes in regards to their network ne作者: BAN 時間: 2025-3-28 15:28 作者: 愚蠢人 時間: 2025-3-28 21:39 作者: Heart-Rate 時間: 2025-3-29 00:13 作者: Acquired 時間: 2025-3-29 05:58 作者: Budget 時間: 2025-3-29 10:35
https://doi.org/10.1007/b115033 to represent all the communities at different layers emerging from edges composing the network. Recent studies on community detection in complex networks have highlighted that network motifs, i.e. small groups of nodes interconnected in patterns occurring more frequently than in a random network, a作者: 靦腆 時間: 2025-3-29 11:46
Chantal Cherifi,Hocine Cherifi,Mirco MusolesiPresents recent research on complex networks and their applications.Gathers the edited proceedings of the sixth International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2017作者: 蒙太奇 時間: 2025-3-29 15:43 作者: 沉默 時間: 2025-3-29 22:50
Complex Networks & Their Applications VI978-3-319-72150-7Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: hypnotic 時間: 2025-3-30 01:05 作者: Lipoprotein 時間: 2025-3-30 04:18
978-3-319-89149-1Springer International Publishing AG 2018作者: 抵押貸款 時間: 2025-3-30 11:52
Conference proceedings 2018ading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks..作者: 大范圍流行 時間: 2025-3-30 12:41
,Er?ffnungsworte zum Josef-Stini-Kolloquium,as well as results that are accurate enough for the clustering to succeed. We find that with both the approximated and distributed approaches there is a trade-off between speed and accuracy, but each succeeds in reducing computation time by at least an order of magnitude.作者: 悠然 時間: 2025-3-30 16:45
Lecture Notes in Civil Engineeringrk of the plant ., a model based on cycle-centrality better accounts for pathogen activity than the state-of-art one. This translates into pathogen-targeted-proteins being concentrated in a small number of triads with high cycle-centrality. Algorithms for computing the centrality of cycles and subgraphs are available for download.作者: 表皮 時間: 2025-3-30 23:38 作者: Outshine 時間: 2025-3-31 04:49 作者: 帶來 時間: 2025-3-31 06:41
Boiling Heat Transfer and Cryostability,then used to augment the string similarity in the deduplication process. We evaluate our approach on a real world graph consisting of 620885 vertices and 1129986 edges and report a high accuracy score on a commercial real world graph.作者: 原始 時間: 2025-3-31 09:59
