Method and device for detecting large-scale social network community based on high-order tensor decomposition
A social network and tensor decomposition technology, applied in the detection field of large-scale social network community based on high-order tensor decomposition, can solve the problem of not making good use of network topology, not distinguishing core node types, and low social network compression ability. To achieve the effect of maintaining classification accuracy, improving accuracy, and improving comprehensiveness
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[0061] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.
[0062] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0063] Such as figure 1 As shown, the detection method based on high-order tensor decomposition large-scale social network community provided by the embodiment of the present invention includes the following steps:
[0064] S101: By studying the difference between the real network topology characteristics and the hypothetical network model, using Bayesian inference and other mathematical tools, by maximizing the likelihood probability, realize community and discovery.
[0065] S102: Determine the search characteristics of social network community information, that is, which social network community characteristic factors need to be ...
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