Research on complex network link prediction algorithm based on node influence and resource path

Yabing Yao; Zeguang Liu

doi:10.1117/12.2680193

31 May 2023 Research on complex network link prediction algorithm based on node influence and resource path

Yabing Yao, Zeguang Liu

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 1270434 (2023) https://doi.org/10.1117/12.2680193
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

As an important means of mining network connection information, link prediction can not only master more hidden information from it, but also discover missing information in the research. It is a common way to complete the incomplete network. In the process of being included in the prediction technology research, researchers have put forward a variety of application algorithms, among which the most representative is the link prediction method based on similarity. Therefore, on the basis of determining the link prediction and technology research status of complex network, this paper puts forward a new method to calculate node influence and resource path, and combines them together for experimental analysis. The final results show that the algorithm is more accurate and effective in practice.

Citation Download Citation

Yabing Yao and Zeguang Liu "Research on complex network link prediction algorithm based on node influence and resource path", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 1270434 (31 May 2023); https://doi.org/10.1117/12.2680193

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