Time-varying network community evolution visualization method introducing quantitative index
A time-varying network and community technology, applied in the field of information visualization, can solve the problems of lack of quantitative information display, no consideration of time-varying network dynamic properties, single time frame network visualization results lack of network time-varying properties, etc., to achieve enhanced readability Effect
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[0020] Existing network visualization methods are mostly aimed at static networks. The so-called static network means that the nodes and edges in the network are fixed without considering the time attribute of the network. 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" at this moment. It is equivalent to "sometime sub-network". This sub-network is a static network, and the communities obtained by its ...
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