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

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

Soumya George, M. Sudheep Elayidom, T. Santhanakrishnan
Copyright: © 2020 |Volume: 12 |Issue: 1 |Pages: 12
ISSN: 1938-0194|EISSN: 1938-0208|EISBN13: 9781799805830|DOI: 10.4018/IJWP.2020010104
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MLA

George, Soumya, et al. "A Novel Sequence Graph-Based Approach to Find Academic Research Trends." IJWP vol.12, no.1 2020: pp.45-56. http://doi.org/10.4018/IJWP.2020010104

APA

George, S., Elayidom, M. S., & Santhanakrishnan, T. (2020). A Novel Sequence Graph-Based Approach to Find Academic Research Trends. International Journal of Web Portals (IJWP), 12(1), 45-56. http://doi.org/10.4018/IJWP.2020010104

Chicago

George, Soumya, M. Sudheep Elayidom, and T. Santhanakrishnan. "A Novel Sequence Graph-Based Approach to Find Academic Research Trends," International Journal of Web Portals (IJWP) 12, no.1: 45-56. http://doi.org/10.4018/IJWP.2020010104

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Abstract

Research trends are dynamic, changing from time to time. 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. This article proposes an efficient method to find research trends in each field of research of any subject area by using the graph-based subject classification of published papers. This methodology can be efficiently used to find research trends at any point of time, based on the published year of academic publications. A study of change in research trends in three subject areas - physics, mathematics, and computer science have been successfully conducted based on a total of 4500 publications since 2004.

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