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Fig. 7 | EURASIP Journal on Bioinformatics and Systems Biology

Fig. 7

From: Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance

Fig. 7

Screenshot of the initial window of the application we developed for free public analysis of custom data sets using the method described in the present paper. Topics are visualized as coloured blobs arranged in rows, each row corresponding to a single epoch (with the time arrow pointing downwards). The size of each blob is proportional to the popularity of the corresponding topic within its epoch. Each epoch is coloured using a single colour different from the neighbouring epochs. Line connectors between topics denote temporal topic connections across the temporal relatedness graph and encode topic evolution, merging and splitting, and convergence and speciation

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