A Novel Sequence Graph-Based Approach to Find Academic Research Trends

1. Introduction

The scope and importance of research are increasing day by day. Research trends help to find out the hotspots and emerging trends in each field. It is an indicator of the latest innovations in each field of research, current areas of research, the latest technologies, and developments in each field of research. It also helps with future innovations and developments by providing current challenges and opportunities. Academic publications are also increasing day-by-day, and scientific trends analysis plays a significant role in the academic field. Finding research trends helps researchers to find the current research areas of interests and provides a pathway for upcoming researchers to follow. This also helps to improve the quality of research and can be efficiently used to analyze scientific production in each field of research and to predict the rise and fall and stability of research topics (Bobadilla et al., 2019; Prabhakaran et al., 2016).

This paper proposes an efficient method to find scientific trends of any subject area by utilizing the graph based subject classification of academic publications. Scientific trends can be identified based on a specific year or a period. This helps us to find the change in research trends from time to time in each field of research. The main backbone of this work is the word sequence graph representation of scientific papers using full-text indexing approach with subject classification using graph-based classifier model. The entire work is based on previous work of authors to classify journal articles according to its subject, categories, and subcategories based on contents using Graph-based Subject Classifier, GSC (Soumya et al., 2017; Soumya et al., 2019). This approach can be used to find academic research trends based on a period of years or for any year.