Exploring academic users’ online use behaviours and structuring a hierarchical tree diagram using a binary segmentation procedure

Many published research studies examined and explored the modern users’ behaviors with the online features that are available in their institutions libraries. This paper examines the academic users’ library visit frequencies and their online access frequencies for their purposes. However, scope of this paper doesn't cover the reasons, which behind the users’ online access. The visual distributions also incorporated for capturing the distributions of the opted variables. Further, a binary segmentation procedure named as ‘Search’ has been applied to develop a predictive model for the dependent variable(s) Branch. At each step this split into two new subgroups accounts for more of the variance or the distribution than a split into any other pair of subgroups. Selected branches of Annamalai University were covered for mapping the information and also designing a Hierarchical Tree Diagram. Apart from structuring the tree diagram, a few research questions have been formulated in this study. They are; do the users significantly differ in their library visits?; do the users’ net access frequencies significantly differ?