Results 21 to 30 of about 39,028 (158)
Applied Network Science, 2020 We perform an extensive analysis of how sampling impacts the estimate of several relevant network measures. In particular, we focus on how a sampling strategy optimized to recover a particular spectral centrality measure impacts other topological ...
Nicolò Ruggeri, Caterina De Bacco
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Flowthrough Centrality: A Stable Node Centrality Measure
Journal of Data Science, 2022 This paper introduces flowthrough centrality, a node centrality measure determined from the hierarchical maximum concurrent flow problem (HMCFP). Based upon the extent to which a node is acting as a hub within a network, this centrality measure is defined to be the fraction of the flow passing through the node to the total flow capacity of the node ...
Charles F. Mann +3 more
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Measuring node centrality when local and global measures overlap
Physical Review E, 2022 Centrality metrics aim to identify the most relevant nodes in a network. In literature, a broad set of metrics exists, either measuring local or global centrality characteristics. Nevertheless, when networks exhibit a high spectral gap, the usual global centrality measures typically do not add significant information with respect to the degree, i.e ...
Lorenzo Costantini +3 more
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Artificial Intelligence Chemistry, 2023 The proposed work uses centrality measures based heuristic method to improve the efficiency of the solution for the similarity search problem in molecular chemical graphs by effectively identifying central candidate or representative candidate nodes ...
Nirmala Parisutham
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Correlation between student collaboration network centrality and academic performance
Physical Review Physics Education Research, 2018 We compute nodal centrality measures on the collaboration networks of students enrolled in three upper-division physics courses, usually taken sequentially, at the Colorado School of Mines.
David L. Vargas +5 more
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An Experimental Study on Centrality Measures Using Clustering
Computers, 2021 Graphs can be found in almost every part of modern life: social networks, road networks, biology, and so on. Finding the most important node is a vital issue.
Péter Marjai +2 more
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EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS. [PDF]
Multiscale Model Simul, 2017 Taylor D +4 more
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What do centrality measures measure in psychological networks? [PDF]
Journal of Abnormal Psychology, 2019 ISSN:0021 ...
Laura F. Bringmann +7 more
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Centrality Measures in Directed Fuzzy Social Networks
Fuzzy Information and Engineering, 2015 The centrality of actors has been a key issue in undirected fuzzy social network (UFSN) analysis. For undirected fuzzy social networks (UFSNs) where edges are just a present or absent undirected fuzzy relation with no more information attached. There has
Ren-Jie Hu +3 more
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Map equation centrality: community-aware centrality based on the map equation
Applied Network Science, 2022 To measure node importance, network scientists employ centrality scores that typically take a microscopic or macroscopic perspective, relying on node features or global network structure. However, traditional centrality measures such as degree centrality,
Christopher Blöcker +2 more
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