Author: Guo, Yang; Xu, Jia
Title: Heuristic Network Similarity Measurement Model Based on Cloud Computing Cord-id: 42pwcdmh Document date: 2020_6_13
ID: 42pwcdmh
Snippet: In order to solve this problem, a heuristic network similarity measurement model based on cloud computing is proposed. First, the heuristic network data is collected, and then the spherical harmonic function method is used to match the network data similarity measurement. After the above work, the heuristic network similarity measurement model is built according to the structure balance theory. Thus, a heuristic network similarity measurement model based on cloud computing is constructed. In the
Document: In order to solve this problem, a heuristic network similarity measurement model based on cloud computing is proposed. First, the heuristic network data is collected, and then the spherical harmonic function method is used to match the network data similarity measurement. After the above work, the heuristic network similarity measurement model is built according to the structure balance theory. Thus, a heuristic network similarity measurement model based on cloud computing is constructed. In the experiment, the quality of service node genes obtained by the two models was tested. The experimental results show that the service node genes obtained by the model are better and meet the design requirements.
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