Results 21 to 30 of about 3,045,859 (239)
Bipolar-Valued Fuzzy Social Network and Centrality Measures
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
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Centrality Learning: Auralization and Route Fitting
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
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Redundancy of Centrality Measures in Financial Market Infrastructures
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
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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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Street centrality and land use intensity in Baton Rouge, Louisiana [PDF]
This paper examines the relationship between street centrality and land use intensity in Baton Rouge, Louisiana. Street centrality is calibrated in terms of a node's closeness, betweenness and straightness on the road network.
Antipova, Anzhelika +2 more
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An Experimental Study on Centrality Measures Using Clustering
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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Efficient computation of the Shapley value for game-theoretic network centrality [PDF]
The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in net-works.
Michalak, T +13 more
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Centrality Measures in Directed Fuzzy Social Networks
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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Correlation between student collaboration network centrality and academic performance
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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Map equation centrality: community-aware centrality based on the map equation
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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