A Case Study on Citation Network Analysis

Abstract

In this chapter, the authors present a case study of Network Analysis in the field of bibliometrics, focused on the identification of central academic articles based on complex network metrics that can be implemented with algorithms covered throughout this book. The authors analyze a scientific citation network and systematically obtain the most central papers considering different perspectives of the selected document collection. Later, they discuss the potential benefits that the parallel kernels and the topology-aware partitioning algorithms can offer in the context of the presented study case. Finally, the authors summarize this book's main contributions and offer some concluding remarks.