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Analysis on Link Prediction Algorithm for Social Network

MAY ZIN THEIN, Hla Myo Tun

Abstract


Abstract

The paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction for social network. In this paper, the appropriate algorithm for link prediction problem for social network has been proposed. The results for numerical analysis confirm that the analysis on link prediction algorithm is to solve for the social network.

Keywords: Link Prediction, Algorithm, Social Network, Numerical Analysis, MATLAB.

Cite this Article

Hla Myo Tun, May Zin Thein, Analysis on Link Prediction Algorithm for Social Network. Current Trends in Signal Processing. 2020; 10(1): 1–7p.



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DOI: https://doi.org/10.37591/ctsp.v10i1.3771

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