To address these issues, this paper introduces a new tunable parameter-free method, Normalized Strength-Degree Centrality ( nsd ), which efficiently combines a node's normalized degree and strength to measure its influence across various network structures. Experimental results on eleven real and ...
We perform experiments to identify influential spreaders in both real and computer-generated networks and compare the results on the basis of seven measures: degree, betweenness, closeness, k-shell, semi-local centrality, local structure centrality, and our proposed measure. In the susceptible–...
Degree centrality C c : Closeness centrality C N : Normalized closeness centrality d : Length of a link of the idealized network D : Side length of the idealized network (link) L : Number of links on each side of the catchment area of the idealized network (link)References...
Normalized rankings across networks, by: (A) degree centrality, (B) betweenness centrality, and (C) local clustering coefficient.Amir RostamiHernan Mondani
In this direction, the performance of node degree centrality and distance-based autonomous caching strategies have been investigated. Then, a novel content caching strategy called content placement based on normalized node degree and distance (CPNDD) is proposed. The CPNDD scheme considers content ...
Distribution of normalized control centrality of several real-world networks (blue) and their randomized counterparts: rand-ER (red), rand-Degree (green), plotted in log-log scale.YangYu, Liu
In this direction, the performance of node degree centrality and distance-based autonomous caching strategies have been investigated. Then, a novel content caching strategy called content placement based on normalized node degree and distance (CPNDD) is proposed. The CPNDD scheme considers content ...