Academic Journal of Computing & Information Science, 2023, 6(10); doi: 10.25236/AJCIS.2023.061006.
Yan Zhao1,2, Md. Gapar Md. Johar1,3, Jacquline Tham1
1Postgraduate Centre (PGC), Management and Science University, Shah Alam, Selangor, 1340100, Malaysia
2School of Information and Intelligent Engineering, Ningbo City College of Vocational Technology, Ningbo, 315199, China
3Information Technology Innovation Centre, Management and Science University, Shah Alam, Selangor, 1340100, Malaysia
When guiding the movement of network nodes, due to the lack of comprehensive analysis of node attributes, the success rate of network information delivery is low. Therefore, an opportunity network node movement guidance model based on Knowledge graph is proposed. The Knowledge graph of opportunity network nodes including degree centrality, proximity centrality, PageRank algorithm and Structural holes is constructed; When building the mobile guidance model of opportunity network nodes, the optimal solution of the Knowledge graph is taken as the result of node mobile guidance. In the test results, when the proportion of abnormal nodes in the test network is within 10.0%, the success rate of information delivery remains stable at over 0.90.
Knowledge graph; Opportunity network nodes; Mobile guidance model; Optimal solution; Information delivery success rate
Yan Zhao, Md. Gapar Md. Johar, Jacquline Tham. Mobile Guidance Model of Opportunity Network Node Based on Knowledge Graph. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 10: 39-42. https://doi.org/10.25236/AJCIS.2023.061006.
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