TSS: Temporal similarity search measure for heterogeneous information networks

Golnaz Nikmehr, Mostafa Salehi and Mahdi Jalili

Physica A: Statistical Mechanics and its Applications, 2019, vol. 524, issue C, 696-707

Abstract: Many real-world phenomena can be modeled as networked systems. Some of these systems consist of heterogeneous nodes and edges. Similarity search is a fundamental operation in network systems, which is a basis for various applications such as link prediction and recommendation. This manuscript introduces a temporal similarity measure for heterogeneous networks. The proposed metric is based on metapath strategy and considers time of the interaction. We provide detailed properties of the proposed temporal similarity measures. Our experimental results on a number of real heterogeneous social networks show that incorporating time in the computation of the similarity significantly improves the performance as compared to the state-of-the-art similarity computation methods.

Keywords: Social networks; Similarity search; Heterogeneous networks; Meta-path; Time of interaction; Recommendation systems (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:524:y:2019:i:c:p:696-707

DOI: 10.1016/j.physa.2019.04.207

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