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Visual analysis framework for understanding missing links in bipartite networks

專利號(hào)
US11176460B2
公開日期
2021-11-16
申請(qǐng)人
FUJI XEROX CO., LTD.（JP Tokyo）
發(fā)明人
Jian Zhao; Francine Chen; Patrick Chiu
IPC分類
G06N5/02; G06N20/00
技術(shù)領(lǐng)域
bicliques,bipartite,missing,links,network,biclique,prediction,in,link,algorithm
地域： Tokyo

摘要

Example implementations described herein involve an interface for calculating and displaying missing links for data represented as a bipartite network, along with novel methods for improving link prediction algorithms in the related art. Through example implementations described herein, the accuracy of link prediction algorithms can be improved upon, thereby providing the user with a more accurate understanding of the data in the bipartite network.

說明書

Y i ? + ? X j - X i ? · ? Y i - Y j ?

At 404, the flow proceeds to loop back to the flow of 403 until all biclique pairs are processed.

FIG. 4(b) illustrates an example overall flow, in accordance with an example implementation. Given data represented as a bipartite network and a set of missing links in the bipartite network, at 410 the algorithm of FIG. 4(a) is executed for calculating a weight for each of the missing links in the set based on bicliques of the bipartite network.

At 411 the flow executes a link prediction algorithm configured to incorporate the weight for each of the missing links. Any link prediction algorithm known in the art can be utilized for this purpose such as the algorithms described herein.

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