Results 1 to 10 of about 28,178 (293)
Effective co-betweenness centrality computation [PDF]
Betweenness centrality of vertices is essential in the analysis of social and information networks, and co-betweenness centrality is one of two natural ways to extend it to sets of vertices. Existing algorithms for co-betweenness centrality computation suffer from at least one of the following problems: i) their applicability is limited to special ...
Mostafa Haghir Chehreghani +1 more
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Multiplex Networks of the Guarantee Market: Evidence from China
We investigate a multiplex network of the guarantee market with three layers corresponding to different types of guarantee relationships in China. We find that three single-layer networks all have the scale-free property and are of disassortative nature.
Shouwei Li, Shihang Wen
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Purpose: To analyze the leadership network structure among nursing leaders in Spain identified through the Grupo40Enfermeras y Universidad event. Methods: A descriptive cross-sectional study using social network analysis was used.
Pilar Marqués-Sánchez +5 more
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This research examines the association between co-authorship network centrality (degree, closeness, betweenness, eigenvector, Bonacich flow betweenness) and productivity of Information science researchers.
Faramarz Soheili +2 more
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Energy-Aware Routing in Wireless Sensor Networks Using Local Betweenness Centrality
We propose an energy-aware dynamic routing strategy in order to provide balanced energy consumption in wireless sensor networks, hence, prolonging the lifetime of the network.
Xiao-Hui Li, Zhi-Hong Guan
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Temporal betweenness centrality on shortest walks variants
Betweenness centrality has been extensively studied since its introduction in 1977 as a measure of node importance in graphs. This measure has found use in various applications and has been extended to temporal graphs with time-labeled edges.
Mehdi Naima
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Betweenness Centrality in Graphs
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques ...
Gago Álvarez, Silvia +2 more
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Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson's Patients. [PDF]
Liu Q +6 more
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Reconstruction of Networks from Their Betweenness Centrality [PDF]
In this paper we study the reconstruction of a network topology from the values of its betweenness centrality, a measure of the influence of each of its nodes in the dissemination of information over the network. We consider a simple metaheuristic, simulated annealing, as the combinatorial optimization method to generate the network from the values of ...
Francesc Comellas, Juan Paz-Sánchez
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Social networks are a mathematical representation of interactions among individuals which are prevalent across various animal species. Studies of human populations have shown the breadth of what can spread throughout a social network: obesity, smoking ...
Rebecca Rooke +6 more
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