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Study of Heterogeneous Academic Networks

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  • Tue, 04/10/2018 - 1:30pm - 3:30pm

Study of Heterogeneous Academic Networks

PhD. Comprehensive Exam by:

Fen Zhao

Date: Tuesday April 10th, 2018
Time: 1:30pm – 3:00pm
Location: Lambton Tower, 3105

Abstract: Academic networks are networks that are derived from scholarly data, such as academic papers and citations. They are heterogeneous in the sense that different types of nodes are involved, such as papers and authors. We study such heterogeneous networks for the tasks including author ranking, author clustering, and author disambiguation. This talk will give a brief overview of the tasks involved and will focus on author ranking on the heterogeneous networks.

Academic influence has been traditionally measured by citation counts and metrics derived from it, such as H-Index and G-Index. PageRank based algorithms have been used to give higher weight to citations from more influential papers. Paper citation network and author citation network are widely used to rank authors. A better way is to combine the two networks so that the importance of authors and papers are evaluated recursively within the heterogeneous author-paper network. We will discuss the limitation of different academic networks as well as the solutions.

Thesis Committee:    
Internal Reader: Dr. Yung Tsin and Dr. Arunita Jaekel 
External Reader: Dr. Abdulkadir Hussein
Advisor: Dr. Jianguo Lu  

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