Conna Yang

Abstract: This study shows the analysis of Information System (IS) Success Model by using Author co-citation analysis (ACA). ACA offers a good technique that contributes to the understanding of intellectual structure in the sciences and possibly in other areas to the extent that those areas rely on formal scholarly communication. It is a form of document coupling the frequency with two authors which their paper are cited by the same person. In this thesis we make an experiment by using data from ISI Web of Knowledge database system to identify clusters of highly inter-related documents in the subject of IS Success Model. The study ranks the Information System Success Model documents by times cited and collects first top 52 articles’ authors. Also, we use Multidimensional scaling (MDS) and clustering techniques (CT) to create the two-dimensional maps to display the dynamic intellectual structure of IS success model, based on scholars citing their work by its ranking. The conclusion would provide further research for the researchers.

TL;DR: This study tries to predict music mood by using the online digital music database - Allmusic.com, and finds that mood Happy, Fiery and Drama are easy to detect, while mood Wry, Literate, Ironic and Silly are hard to detect.