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- W3144090809 abstract "The label propagation algorithm is a label-based semi-supervised learning method, which is widely used in the division of large complex communities. This algorithm has the advantages of easy implementation and low complexity, but it also has the disadvantages of lower stability and greater randomness. Many experts and scholars have improved the dissemination of labels, especially the original labels. But most of them are not suitable for large community network discovery, because they are usually very unstable. Therefore, we propose label propagation based on the topological potential field of graphs. By using the topological potential of graph nodes as the importance measure of nodes, the stability of LPA is improved. Finally, the algorithm was tested using real network data sets and LFR benchmark network data sets. The results show that the algorithm has better accuracy and stability than some classic label propagation algorithms." @default.
- W3144090809 created "2021-04-13" @default.
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- W3144090809 date "2021-01-01" @default.
- W3144090809 modified "2023-09-24" @default.
- W3144090809 title "Label Propagation Algorithm Based on Topological Potential" @default.
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- W3144090809 doi "https://doi.org/10.1007/978-981-16-0479-9_11" @default.
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