ASIS&T Presents ...  

SIG MET: Analyzing Scholarly Communication Using Topic Modeling Methods 
Original Broadcast:  August 16, 2013

Publishing or perishing reflects the fierce competition in scholarly communication. Claiming authorship of innovation is essential in many fields, especially in physics or astrophysics. Over the last decade, Web 2.0 technologies have dramatically changed the style of our scholarship and scholarly communication. People can claim and share their initial and innovative thoughts/ideas via online archiving systems, personal blogs, twitter, and facebook. In this webinar, we will provide a detailed tutorial on how to use the topic modeling algorithm (the LDA model) provided by Stanford TMT software package to analyze scholarly communication patterns. By applying LDA using Stanford TMT software, we will present a use case about the lead-lag analysis to identify different topic evolution patterns for preprints from arXiv and papers from Web of Science (WOS) in astrophysics during the last twenty years (1992-2011).

This webinar is sponsored by the Digging into Data funding initiative. Specifically, funding is provided as part of the "Cascades, Islands, or Streams" project--a research initiative funded jointly by JISC, SSHRC, and the NSF. More information can be found here:

Ying Ding Ying Ding, Ph.D.
Associate Professor of Information Science
Department of Information and Library Science 
School of Informatics and Computing
Indiana University

Lili Lin Lili Lin
Ph.D. student
College of Computer and Information
Hohai University (China)

Visiting Scholar (August 2011 - August 2013)
Department of Information and Library Science
School of Informatics and Computing
Indiana University

Webinar and Slides

Webinar Presentation Slides