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Titlebook: Complex Networks IX; Proceedings of the 9 Sean Cornelius,Kate Coronges,Alessandro Vespignani Conference proceedings 2018 Springer Internati

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51#
發(fā)表于 2025-3-30 11:20:47 | 只看該作者
52#
發(fā)表于 2025-3-30 15:37:37 | 只看該作者
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發(fā)表于 2025-3-30 17:49:13 | 只看該作者
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發(fā)表于 2025-3-31 00:32:49 | 只看該作者
Diffusive Phenomena in Dynamic Networks: A Data-Driven Studywhen used to analyze a given social network whose topological dynamics are observed at different temporal granularities. Our goal is to shed some light on the impacts that the adoption of a static topology has on spreading simulations as well as to provide an alternative formulation of two classical diffusion models.
55#
發(fā)表于 2025-3-31 03:28:46 | 只看該作者
On the Eccentricity Function in Graphstance to every other vertex (has minimum eccentricity) constitutes the center of the graph. The minimum eccentricity value represents the graph’s radius. The eccentricity function of a graph can be unimodal or non-unimodal. A graph with unimodal eccentricity function has the property that the eccent
56#
發(fā)表于 2025-3-31 06:16:54 | 只看該作者
Density Decompositions of Networks uniform density. The decomposition we define is unique in the sense that a given network has exactly one density decomposition. The number of nodes in each partition defines a density distribution which, we find, is measurably similar to the degree distribution of given . networks (social, internet
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