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Title:Measuring scientific buzz
Author(s):Vasan, Kishore; West, Jevin
Subject(s):Keyword analysis
Burst detection
Survival analysis
Scientometrics
Science of science
Abstract:Keywords are important for information retrieval. They are used to classify and sort papers. However, these terms can also be used to study trends within and across fields. In this poster, we describe preliminary analysis where we measure the burstiness of keywords within the field of AI. We examine 150k keywords in approximately 100k journal and conference papers. We find that nearly 80% of the keywords die off before year one for both journals and conferences but that terms last longer in journals versus conferences. We also find time periods of burstiness in AI - one where the terms are more neuroscience inspired and one more oriented to computational optimization. Our goal is to extend this analysis to other fields in order to better understand the dynamics of buzz within science.
Issue Date:2019-03-15
Publisher:iSchools
Series/Report:iConference 2019 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103360
DOI:https://doi.org/10.21900/iconf.2019.103360
Rights Information:Copyright 2019 Kishore Vasan and Jevin West
Date Available in IDEALS:2019-03-22


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