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- W4367156765 abstract "The article provides for the development of algorithms and software for graphical visualization of the interconnection of criminal information networks. The use of various social network analysis techniques to identify key and influential spreaders in an online community has been explored. During the analysis of the graph, an analysis of various metrics of social network analysis methods was carried out and a comparison was made of the effectiveness of the method with ready-made data." @default.
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- W4367156765 date "2022-12-30" @default.
- W4367156765 modified "2023-09-25" @default.
- W4367156765 title "Research and creation ofamethod for identifying influential spreaders of criminal information in a social network" @default.
- W4367156765 doi "https://doi.org/10.47533/2020.1606-146x.198" @default.
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