Cross-network node alignment algorithm based on following relationship and username similarity

Jiati Cai; Tong Yu

doi:10.1117/12.3006122

10 October 2023 Cross-network node alignment algorithm based on following relationship and username similarity

Jiati Cai, Tong Yu

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279905 (2023) https://doi.org/10.1117/12.3006122
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the enhancement and enrichment of social media, cross network node alignment algorithms are playing an increasingly important role in interest recommendation and security protection. However, the performance of the same user in different online social networks platforms may differ due to the heterogeneous characteristics of the platform or unclear personal characteristics, which correspondingly poses many challenges. Existing cross network node association methods are restricted by the forgery of attributes and the time complexity of processing user generated content, and the overall effect is not ideal. This article mainly proposes a cross network node alignment algorithm based on friend following relationships and username similarity in different networks in online social networks. Using social network relationships to generate model vectors for two networks, and generating transformation matrices based on training sets, calculate confidence based on friend relationships for test samples, and organically combine the similarity of user names between the two networks to make associated user predictions, thereby linking the accounts of entities in the two networks and achieving node alignment. Experimental results indicate the node alignment method can achieve satisfactory performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiati Cai and Tong Yu "Cross-network node alignment algorithm based on following relationship and username similarity", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279905 (10 October 2023); https://doi.org/10.1117/12.3006122

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KEYWORDS

Social networks

Matrices

Education and training

Data modeling

Alignment modeling

Mining

Visualization

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