A Novel Method for Mining the Advisor-Student Relationships in Academic Social Network

Abstract:

Academic social network contains abundant knowledge about relationships among people or entities. Building the relationship between different entities correctly can help providing comprehensive services in the scientific research field. Unfortunately, some relationships, such as advisor-student relationship, are often hidden in academic social network, which are not explicitly categorized. Discovery of these relationships can benefit many valuable applications such as research community analysis. In this paper, a novel method based on Markov Logic Network is proposed to mine the advisor-student relationship in academic social network. Experimental results show that the proposed approach can find the advisor-student relationship effectively.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 1795-1799
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.1795
• Online since: January 2013
• Authors: Yue Wang, Xiao Lin Liu
• Keywords: Academic Social Network, Advisor-Student Relationship, Markov Logic Net, Method

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