Results 11 to 20 of about 7,824,399 (323)
Journal of Methods and Measurement in the Social Sciences, 2018 This research examines four frequently used centrality indices—degree, closeness, betweenness, and eigenvectors—to understand the extent to which their clear theoretical distinctions are reflected in differences in empirical performance.
Dawn Iacobucci +3 more
doaj +2 more sources
Kirchhoff Index As a Measure of Edge Centrality in Weighted Networks: Nearly Linear Time Algorithms [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2018 Most previous work of centralities focuses on metrics of vertex importance and methods for identifying powerful vertices, while related work for edges is much lesser, especially for weighted networks, due to the computational challenge. In this paper, we
Li, Huan, Zhang, Zhongzhi
core +2 more sources
New Preoperative Nomogram Using the Centrality Index to Predict High Nuclear Grade Clear Cell Renal Carcinoma. [PDF]
Cancer Manag Res, 2019 Objective Nuclear grading is an independent prognosis factor of clear-cell renal cell carcinoma (ccRCC). A non-invasive preoperative predictive WHO/International Society of Urologic Pathology (WHO/ISUP) grading of ccRCC model is needed for clinical use ...
Feng Z +8 more
europepmc +2 more sources
Lobby index as a network centrality measure [PDF]
Physica A: Statistical Mechanics and its Applications, 2013 11 pages, 4 figures.
Campiteli, M.G. +4 more
openaire +3 more sources
Interobserver variability of R.E.N.A.L., PADUA, and centrality index nephrometry score systems. [PDF]
World J Urol, 2015 Spaliviero M +12 more
europepmc +2 more sources
A Faster Algorithm for Betweenness Centrality Based on Adjacency Matrices [PDF]
arXiv.org, 2022 Betweenness centrality is essential in complex network analysis; it characterizes the importance of nodes and edges in networks. It is a crucial problem that exactly computes the betweenness centrality in large networks faster, which urgently needs to be
Ye Feng, Huaixi Wang
semanticscholar +1 more source
Journal of Hydroinformatics, 2022 In this paper, complex network analysis is used to analyze the structure of a whole river basin. A classification of nodes and edges that allow the river basin to be represented as a directed network is given.
R. Rodríguez-Alarcón, S. Lozano
doaj +1 more source
Optimal performance of a self-healing microgrid
IET Smart Grid, 2019 This study proposes a multi-objective binary differential evolution algorithm to reconfigure the system and restore the loads within the stand-alone microgrid.
Sheetal Chandak, Pravat Kumar Rout
doaj +1 more source
Locating influential nodes via dynamics-sensitive centrality [PDF]
, 2015 With great theoretical and practical significance, locating influential nodes of complex networks is a promising issues. In this paper, we propose a dynamics-sensitive (DS) centrality that integrates topological features and dynamical properties.
Guo, Qiang +3 more
core +2 more sources
Bioaccumulation modelling and sensitivity analysis for discovering key players in contaminated food webs: the case study of PCBs in the Adriatic Sea [PDF]
, 2015 Modelling bioaccumulation processes at the food web level is the main step to analyse the effects of pollutants at the global ecosystem level. A crucial question is understanding which species play a key role in the trophic transfer of contaminants to ...
Marianna Taffi a, D +3 more
core +1 more source