Using data mining to explore calmodulin bibliography

Abstract

In this chapter, we present a strategy and the techniques to approach a scientific field from a set of articles gathered from the bibliographic database “Web of Science.” The strategy is based on methods developed to analyze social networks. We illustrate its use in studying the calmodulin field. The method allows to structure a huge number of articles when writing a review, to detect the key opinion leaders in a given field, and to locate their own research topic in the landscape of themes deciphered by our own community. We show that the free software VOSviewer may be used without knowledge in computing science and with a short learning period.