標(biāo)題: Titlebook: Complex Networks XI; Proceedings of the 1 Hugo Barbosa,Jesus Gomez-Gardenes,Marcos Oliveira Conference proceedings 2020 The Editor(s) (if a [打印本頁] 作者: 詞源法 時(shí)間: 2025-3-21 16:26
書目名稱Complex Networks XI影響因子(影響力)
書目名稱Complex Networks XI影響因子(影響力)學(xué)科排名
書目名稱Complex Networks XI網(wǎng)絡(luò)公開度
書目名稱Complex Networks XI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Complex Networks XI被引頻次
書目名稱Complex Networks XI被引頻次學(xué)科排名
書目名稱Complex Networks XI年度引用
書目名稱Complex Networks XI年度引用學(xué)科排名
書目名稱Complex Networks XI讀者反饋
書目名稱Complex Networks XI讀者反饋學(xué)科排名
作者: 史前 時(shí)間: 2025-3-22 00:14 作者: 白楊魚 時(shí)間: 2025-3-22 03:11 作者: jungle 時(shí)間: 2025-3-22 04:56 作者: 不可磨滅 時(shí)間: 2025-3-22 10:00
Indications for Stable Fixationld networks. Mathematical graph theory helps to understand and predict their behavior. This paper examines and compares the structural properties such as the small-world effect, the clustering coefficient and the degree distribution of Erdos-Renyi random networks with some real-world networks. Besid作者: ERUPT 時(shí)間: 2025-3-22 14:33
Stable Fixation of the Hand and Wristange aiming to bring the properties to an acceptable range is called . (NTRLA). We faced an NTRLA problem when we were investigating ways to improve the efficiency of large power grids. In the search for solutions, we developed strategies to add new edges in unsupervised automatic applications. The 作者: ERUPT 時(shí)間: 2025-3-22 19:57 作者: 加劇 時(shí)間: 2025-3-22 21:52
Stable Fixation of the Hand and Wrist implies that these nodes become too interdependent on each other. For instance, in trade networks, the possible shortage of flow between two countries may lead to the deficit of goods in the importing country but, on the other hand, it may also affect the financial stability of the exporting countr作者: ineluctable 時(shí)間: 2025-3-23 01:55
The Arf-Kervaire Invariant via ,n the graph to sample relationships between vertices. These methods rely on symmetric affinities between nodes and do not translate well to directed graphs. We propose a method to learn vector embeddings of nodes in a graph as well as the parameters of an asymmetric similarity function that can be u作者: SPALL 時(shí)間: 2025-3-23 08:05
The Arf-Kervaire Invariant via ,ks, called ., which can be considered a particular case of multiplex and multi-layer networks. We propose two . spectral methods for identifying communities within a finite sequence of networks. We provide theoretical results to quantify the performance of the proposed methods when individual networ作者: Circumscribe 時(shí)間: 2025-3-23 13:07 作者: 王得到 時(shí)間: 2025-3-23 14:22
The Upper Triangular Technology, subgraphs known as triadic motifs. Triads are a set of distinct triangles that do not share an edge with any other triangle in the network. Network motifs are subgraphs that occur significantly more often compared to random topologies. Two prominent examples, the feedforward loop and the feedback l作者: 感情脆弱 時(shí)間: 2025-3-23 20:54
https://doi.org/10.1007/978-3-030-40943-2Computer Science; Informatics; Conference Proceedings; Research; Applications; Graph Theory; Complex Syste作者: 背心 時(shí)間: 2025-3-24 00:45
978-3-030-40945-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Dysarthria 時(shí)間: 2025-3-24 03:19
Complex Networks XI978-3-030-40943-2Series ISSN 2213-8684 Series E-ISSN 2213-8692 作者: 離開可分裂 時(shí)間: 2025-3-24 09:19
Unsupervised Strategies to Network Topology Reconfiguration Optimization with Limited Link Addition one with the smallest closeness, although this procedure is not scalable. Furthermore, the strategy that links nodes whose betweenness values are near to the median was shown to be scalable and easy to implement, even if it has not delivered the best performance. We have found that the min-cut proc作者: flaunt 時(shí)間: 2025-3-24 14:06
Collective Decision-Making on Triadic Graphsas underlying topologies of systems with collective dynamics inspired from locust marching bands. We demonstrate that the motif type constituting the networks can have a paramount influence on group decision-making that cannot be explained solely in terms of the degree distribution. We find that, in作者: laceration 時(shí)間: 2025-3-24 17:50
Stable Fixation of the Hand and Wrist one with the smallest closeness, although this procedure is not scalable. Furthermore, the strategy that links nodes whose betweenness values are near to the median was shown to be scalable and easy to implement, even if it has not delivered the best performance. We have found that the min-cut proc作者: 滴注 時(shí)間: 2025-3-24 22:06 作者: Fatten 時(shí)間: 2025-3-25 02:29
Finite-Dimensional Approximations,edundant and heavy computational steps using combinatorics. We were are able to achieve substantial improvements, with evidence of exponential speedup for our best cases, where these patterns represent up?to 97% of the network, from a broad set of real and synthetic networks.作者: Facilities 時(shí)間: 2025-3-25 06:02 作者: 技術(shù) 時(shí)間: 2025-3-25 08:49
The Arf-Kervaire Invariant via ,ixed size and are sparse. This condition on the parameters of the network models mentioned above is both sufficient for consistent community recovery using our methods and also necessary to have any consistent community detection procedure. We also give some simulation results to demonstrate the efficacy of the proposed methods.作者: Assemble 時(shí)間: 2025-3-25 13:21 作者: creatine-kinase 時(shí)間: 2025-3-25 19:52 作者: 性上癮 時(shí)間: 2025-3-25 21:39
Power of Nodes Based on Their Interdependenceuence. Second, we present several models that transform information about direct influence to a single vector with respect to the network structure. Finally, we compare our models with centrality measures on artificial and real networks.作者: placebo 時(shí)間: 2025-3-26 01:13
Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with ixed size and are sparse. This condition on the parameters of the network models mentioned above is both sufficient for consistent community recovery using our methods and also necessary to have any consistent community detection procedure. We also give some simulation results to demonstrate the efficacy of the proposed methods.作者: 瘙癢 時(shí)間: 2025-3-26 06:38
Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots?trategies give higher allocations to normal agents, with some residual allocations to partial zealots, and allocations to both types of agents decrease with node degree. Our results emphasize that heterogeneity in agent properties strongly affects strategies for influence maximization on heterogeneous networks.作者: 嚴(yán)峻考驗(yàn) 時(shí)間: 2025-3-26 10:49 作者: Contort 時(shí)間: 2025-3-26 14:02 作者: CURB 時(shí)間: 2025-3-26 16:57
Indications for Stable Fixationes, we propose an algorithm to calculate the number and the entropy of spanning trees of these networks by using the electrically equivalent transformations. The result allows us to evaluate the robustness and the homogeneity of their structure. The proposed technique is efficient and more general compared to the classical ones.作者: follicular-unit 時(shí)間: 2025-3-26 21:49 作者: cathartic 時(shí)間: 2025-3-27 02:10 作者: Microaneurysm 時(shí)間: 2025-3-27 08:37
2213-8684 ce—who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas作者: Default 時(shí)間: 2025-3-27 13:24 作者: anticipate 時(shí)間: 2025-3-27 16:43 作者: BARK 時(shí)間: 2025-3-27 21:42
Node Classification with Bounded Error Ratesth guaranteed error bounds, and (2) improve the accuracy of the prediction algorithms. Our experimental results show that the Conformal Prediction framework can provide up?to a 30% improvement in node classification algorithm accuracy while maintaining guaranteed error bounds on predictions.作者: iodides 時(shí)間: 2025-3-27 22:06 作者: 神圣不可 時(shí)間: 2025-3-28 06:11 作者: Cougar 時(shí)間: 2025-3-28 09:24
Asymmetric Node Similarity Embedding for Directed Graphssed to retain the direction of relationships in the embedding space. The effectiveness of our approach is illustrated visually by the 2D embedding of a lattice graph as well quantitatively in multiple link prediction experiments on real world datasets.作者: Favorable 時(shí)間: 2025-3-28 11:21
Conference proceedings 2020ngs about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.. .作者: 能夠支付 時(shí)間: 2025-3-28 15:16
2213-8684 and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.. .978-3-030-40945-6978-3-030-40943-2Series ISSN 2213-8684 Series E-ISSN 2213-8692 作者: modifier 時(shí)間: 2025-3-28 20:05
Condensed Graphs: A Generic Framework for Accelerating Subgraph Census Computationdistributions. Current state-of-the-art algorithms for this task either take advantage of common patterns emerging on the networks or target a set of specific subgraphs for which analytical calculations are feasible. Here, we propose a novel network generic framework revolving around a new data-stru作者: 鋼筆記下懲罰 時(shí)間: 2025-3-29 00:03
Group Cohesion Assessment in Networkso establish the level of cohesion among network nodes. It comes from the Black-Hole metric introduced as a solution of the normalization problem that affects PageRank; in particular, here we present an extension that leverages a set of black hole nodes to assess intra- and inter-group cohesion in pa作者: 畫布 時(shí)間: 2025-3-29 03:14
Node Classification with Bounded Error Ratesh to associate a confidence level with a prediction such that the error in the prediction is guaranteed. We propose adopting the Conformal Prediction framework?[.] to obtain guaranteed error bounds in node classification problem. We show how this framework can be applied to (1) obtain predictions wi作者: DIKE 時(shí)間: 2025-3-29 08:07 作者: harrow 時(shí)間: 2025-3-29 12:51
Unsupervised Strategies to Network Topology Reconfiguration Optimization with Limited Link Additionange aiming to bring the properties to an acceptable range is called . (NTRLA). We faced an NTRLA problem when we were investigating ways to improve the efficiency of large power grids. In the search for solutions, we developed strategies to add new edges in unsupervised automatic applications. The 作者: 胰臟 時(shí)間: 2025-3-29 18:11
Embedding of Signed Networks Focusing on Both Structure and Relationetworks. Most of the research on network embedding are for simple networks without edge signs. However, relations among users in real social media are often represented as signed networks composed of positive and negative relationships. In this paper, we propose a new method for embedding signed net