In week 10, we introduce methods of performing topic analyses in bibliometrics and provide a hands-on demonstration of how to create and visualize word co-occurrence and bibliographic coupling networks using Sci2 and Gephi.
Boyack KW, Klavans R. 2010. Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? J Am Soc Inf Sci Technol. 61(12):2389-2404. doi:10.1002/asi.21419
Boyack KW, Klavans R. 2014. Creation of a highly detailed, dynamic, global model and map of science. J Assoc Inf Sci Technol. 65(4):670-685. doi:10.1002/asi.22990
Klavans R, Boyack KW. 2017. Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? J Assoc Inf Sci Technol. 68(4):984-998. doi:10.1002/asi.23734
Open the .isi file from Web of Science, or the .csv file from Scopus, in Sci2 and create a word co-occurrence network. Prune the network by removing edges, visualize it using Gephi, and export the resulting network to a .svg or .png file. If you’re working with Web of Science data, also create a bibliographic coupling network from the same .isi file, prune it by removing edges, and visualize it using Gephi.
Last modified date: Thu, 10/17/2019 - 3:37pm