Research Article
Heuristic Network Similarity Measurement Model Based on Cloud Computing
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@INPROCEEDINGS{10.1007/978-3-030-51103-6_1, author={Yang Guo and Jia Xu}, title={Heuristic Network Similarity Measurement Model Based on Cloud Computing}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2020}, month={7}, keywords={Cloud computing Heuristic network Similarity measurement Node Evaluation criteria Network data Similarity propagation mode}, doi={10.1007/978-3-030-51103-6_1} }- Yang Guo
Jia Xu
Year: 2020
Heuristic Network Similarity Measurement Model Based on Cloud Computing
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-51103-6_1
Abstract
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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