Interlayer Link Prediction by Analyzing Matching Degree in Multiplex Networks

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Khdir Sakar O.; Abdollahpouri Alireza; Azizi Sadoon; Havas Shahla

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

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Title

Interlayer Link Prediction by Analyzing Matching Degree in Multiplex Networks

Author(s)

Khdir Sakar O. | Abdollahpouri Alireza | Azizi Sadoon | Havas Shahla

Keywords

Interlayer Link Prediction

Multilayer Networks

Inter-Layer Similarity Metric

Structural Information

Online Social Network

Abstract

Some networks are well-modelled as a multilayer structure in the real world, with interactions between nodes in numerous layers. For example, users may, have accounts on numerous Online Social Networks (OSNs) such as Twitter, Instagram, and Facebook, and each social network can be thought of as a layer in a multiplex network. The goal of predicting links between layers of a multiplex network is to detect if accounts across various OSNs are associated with a same user or not. This can be useful in a variety of situations, such as evaluating client interests or predicting cybercriminal behavior. In this research, we present a unique Interlayer Link Prediction approach that incorporates information from the degree penalty mechanism. The technique takes advantage of the network's power-law degree distribution. As a result, in different OSNs, neighbors with varying degrees of proximity may have varied effects on the degree of node matching. It can match a user's accounts across many layers well. The suggested strategy outperforms similar methods by at least 10% in terms of prediction accuracy, according to experimental results on both synthetic and real-world networks.

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APA: Copy

Khdir, Sakar O., Abdollahpouri, Alireza, Azizi, Sadoon, & Havas, Shahla. (2024). Interlayer Link Prediction by Analyzing Matching Degree in Multiplex Networks. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147670/en

Vancouver: Copy

Khdir Sakar O., Abdollahpouri Alireza, Azizi Sadoon, Havas Shahla. Interlayer Link Prediction by Analyzing Matching Degree in Multiplex Networks. 2024. Available from: https://sid.ir/paper/1147670/en

IEEE: Copy

Sakar O. Khdir, Alireza Abdollahpouri, Sadoon Azizi, and Shahla Havas, “Interlayer Link Prediction by Analyzing Matching Degree in Multiplex Networks,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147670/en

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