Results 21 to 30 of about 41,287 (259)
Bipolar-Valued Fuzzy Social Network and Centrality Measures
Discrete Dynamics in Nature and Society, 2022 The concept of bipolar-valued fuzzy relationships and their role in modeling bipolar-valued fuzzy social networks (BVFSN) are discussed. The goal of this study is to represent the bipolarity and fuzziness that are always present in the relationship ...
Sakshi Dev Pandey +3 more
doaj +1 more source
Centrality Learning: Auralization and Route Fitting
Entropy, 2023 Developing a tailor-made centrality measure for a given task requires domain- and network-analysis expertise, as well as time and effort. Thus, automatically learning arbitrary centrality measures for providing ground-truth node scores is an important ...
Xin Li, Liav Bachar, Rami Puzis
doaj +1 more source
Total communicability as a centrality measure [PDF]
Journal of Complex Networks, 2013 We examine a node centrality measure based on the notion of total communicability, defined in terms of the row sums of the exponential of the adjacency matrix of the network. We argue that this is a natural metric for ranking nodes in a network, and we point out that it can be computed very rapidly even in the case of large networks.
Michele Benzi, Christine Klymko
openaire +2 more sources
Redundancy of Centrality Measures in Financial Market Infrastructures
Latin American Journal of Central Banking, 2023 The concept of centrality is widely used to monitor systems with a network structure because it allows identifying their most influential participants. This monitoring task can be difficult if the number of system participants is considerably large or if
Constanza Martínez-Ventura +2 more
doaj +1 more source
Rank monotonicity in centrality measures [PDF]
Network Science, 2017 AbstractA measure of centrality isrank monotoneif after adding an arcx→y, all nodes with a score smaller than (or equal to)yhave still a score smaller than (or equal to)y. If, in particular, all nodes with a score smaller than or equal toyget a score smaller thany(i.e., all ties withyare broken in favor ofy), the measure is calledstrictly rank monotone.
Paolo Boldi +2 more
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source