Measuring Scholarly Impact - New Book
ILS faculty member Ying Ding and colleagues Ronald Rousseau and Dietmar Wolfram recently co-edited a book published (2014) by Springer:
The book is “designed for researchers and scholars interested in informetrics, scientometrics, and text mining. The hands-on perspective is also beneficial to advanced-level students in fields from computer science and statistics to information science.”
It includes chapters ILS faculty Ying Ding, Stasa Milojevic, and Katy Borner; ILS alumni Erjia Yan, Min Song, and David E. Polley, and current ILS doctoral student Tamy Chamber. See related chapter titles below.
• Network analysis and indicators
– by Stasa Milojevic
• PageRank-related methods for analyzing citation networks
– by Ludo Waltman and Erjia Yan
• Text mining with Stanford CoreNLP
– by Min Song and Tamy Chambers
• Topic modeling: Measuring scholarly impact using a topical lens
– by Min Song and Ying Ding
• Replicable science of science studies
– by Katy Borner and David E. Polley