Social network false information control method based on clonal selection algorithm
A technology of clone selection algorithm and social network, which is applied in the field of social network false information control based on clone selection algorithm, and can solve the problems of reduced algorithm efficiency and accuracy
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[0063] Apply this method to the false information control of a social network, such as figure 2 As shown, there are a total of 26 user nodes in the network, and λ = 10, ε = 50%, that is, at least 10 detectors must be generated through clonal proliferation and mutation, and finally the coverage of false information will be reduced to below 50%. The affinity discrimination between the information forwarded by these user nodes and the target antigen information ω 0 The relationship is shown in Table 1 below:
[0064] Table 1
[0065]
[0066] Such as figure 1 As shown, explain: figure 1 The process description in is a summary of the following content, and the text may not be exactly the same, but the content is consistent. This method is the social network false information control method based on the cloning selection algorithm of the present invention, comprising the following steps:
[0067] (1) The detector obtains two nodes with relatively large degrees in the socia...
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