Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area
Snehanshu Saha1, Poulami Sarkar1★, Archana Mathur2, Suryoday Basak1★ Corresponding author
- 1Department of Computer Science and Engineering, PESIT Bangalore South Campus, Bangalore, Karnataka, INDIA.
- 2Indian Statistical Institute, SSIU, Bangalore, Karnataka, INDIA.
CORRESPONDENCE
Poulami Sarkar
Department of Computer Science and Engineering, PESIT Bangalore South Campus, Bangalore, Karnataka, INDIA.
Received: 10-03-2018; Revised: 16-04-2018; Accepted: 03-05-2018.
Volume 7, Issue 1 · pp. 48–53 · PUBLISHED · DOI: 10.5530/jscires.7.1.7
ABSTRACT
A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting the niche prominence of the particular journal. We investigate the remarkable ascendancy in reputation of ASCOM by proposing a novel differential equation based modeling. The modeling is a consequence of knowledge discovery from big data-centric methods, namely L1-SVD. The inadequacy of the ranking method in explaining the reason behind the growth in reputation of ASCOM is reasonable to understand given that the study was post-facto. Thus, we propose a growth model by accounting for the behavior of parameters that contributes to the growth of a field. It is worthwhile to spend some time in analyzing the cause and control variables behind rapid rise in reputation of a journal in a niche area. We intend to probe and bring out parameters responsible for its growing influence. Delay differential equations are used to model the change of influence on a journal’s status by exploiting the effects of historical data.
KEYWORDS
REFERENCES
As publishedShowing references and in-text citations exactly as published.
Cite this article
SELECT FORMAT
Saha, S., Sarkar, P., Mathur, A., & Basak, S. (). Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area. Journal of Scientometric Research, 7(1), 48–53. https://doi.org/10.5530/jscires.7.1.7
