Proposal 2nd Draft Nitin Yandong Ming Yanbo

Modeling Academic Collaboration and Influence in scholarly literature

Team members

Nitin Agarwal

Yandong Liu

Yanbo Xu

Ming Sun

The Problem

New research papers are growing rapidly, especially in computer science field, making it hard to follow. Instead of wasting time reading all the papers, we want our computers to answer following questions:

• Who to collaborate with?
• Which work to cite?
• Who to review this paper (for conference organizers)?

Essentially, we d like to capture the interactions and relationships between people. For academia, it s mainly about collaboration and citation. There are approaches about content Analysis and/or connectivity Analysis.

Application

Who to collaborate with?

• Given a professor's name and his/her research topic, we want the computer to list the most possible researchers for him/her to collaborate.
• This can be stated as $a_{r}=argmax_{a_{r}^{*}}P(a_{r}^{*},r=co-author|a,z)$
• In this way, we can recommend a faculty member for you to collaborate with.

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Related work

Author Topic Model

Author-Recipient-Topic Model