Locality-Sensitive Hashing-Based Link Prediction Process on Smart Campus Education or Online Social Platform

Author:

Liu Hanwen1ORCID,Meng Shunmei1,Hou Jun23,Wang Shuo1,Li Qianmu14,Huang Chanying1

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210096, P. R. China

2. School of Social Science, Nanjing Vocational University of Industry Technology, Nanjing 210046, P. R. China

3. Intelligent Manufacturing Department, Wuyi University, Jiangmen 529020, P. R. China

4. School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210096, P. R. China

Abstract

With the development of the Internet, smart campus education and online social platforms have become the mainstream of establishing social relationships. Although many users communicate by social networks, the social networks are caught in the problem of relationship sparsity, which severely impedes users’ communication space. More fatally, in the course of building social relationships, the disclosure of sensitive information will cause users’ privacy vulnerable to be compromised by attackers. Therefore, this paper proposes a potential social relationships prediction approach based on locality-sensitive hashing (LSH) to address the above issues. Specifically, the LSH clusters similar users into the same bucket, and the fuzzy computing method is developed to predict the types of social relationships among these similar users. To further alleviate the relationship sparsity problem, the existing social network structure is utilized to predict users’ social relationships and relationship types. Furthermore, the rationality of prediction results is verified by using the social balance theory (SBT). Finally, massive experiments are executed on Epinions, and the experimental results further confirmed the efficiency and accuracy of our methodology in terms of link prediction while guaranteeing privacy-preservation.

Funder

Jiangsu University Philosophy and Social Science Research Project

Scientific research project of Nanjing Vocational University of Industry Technology

Jiangsu Province Modern Education Technology Research Project

National Natural Science Foundation of China

Publisher

World Scientific Pub Co Pte Ltd

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

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