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The Risks of Introspection: A Quantitative Analysis of Influence Between Scientific Communities

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Research has been increasingly evaluated by quantitative analysis of citations. While many methods such as h-index or conference impact factor has been proposed for quantification of impact or influence an individual or a group has in total, how a group of scientists, or scientific community, influences or is influenced by other communities has been less explored. We propose that analysis of inter-community influ- ence offers valuable insights into how scientific communities evolve in terms of growth, stability, decline, information exchange, and impact. We present a computational model for inter-community influence in science and evaluate it on 19 years of data from communities in the field of Artificial Intelligence (AI). We uncover and explain dynamics of communities that are gaining influence; that act as bridging hubs; or isolated communities losing influence. Therefore, our analysis sheds some light onto the factors that may drive a scientific community’s growth or decline.
Conference Name: 
The 28th International FLAIRS Conference 2015
Proceedings: 
Proceedings of The 28th International FLAIRS Conference 2015
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
18/05/2015
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes