A Time-varying Network Community Evolution Visualization Method Introducing Quantitative Indicators
A time-varying network and community technology, applied in the field of information visualization, can solve the problems of lack of quantitative information display, failure to consider the dynamic properties of time-varying network, and the need to improve the utilization rate of visualization space, so as to achieve the effect of enhancing readability.
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[0020] Most of the existing network visualization methods are aimed at static networks. The so-called static network means that the time attributes of the network are not considered. The nodes and edges in the network are fixed. Correspondingly, the time-varying network considers the time attributes of network evolution. The nodes and edges in the network follow Increase or decrease over time. Correspondingly, the community structure obtained by the community division of the static network is also static, and the members of the community are unchanged, while the community structure obtained by the community division of the time-varying network is also dynamic, and the members of the community also change with time.
[0021] A time-varying network can be divided into several moments. Although the time-varying network is constantly changing, the network is "static" at a certain moment. The time-varying network is called a "time step sub-network"...
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