Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area

Journal of Scientometric Research,2018,7,1,48-53.
Published:May 2018
Type:Research Note
Author(s) affiliations:

Snehanshu Saha1, Poulami Sarkar1, Archana Mathur2, Suryoday Basak1

1Department of Computer Science and Engineering, PESIT Bangalore South Campus, Bangalore, Karnataka, INDIA

2Indian Statistical Institute, SSIU, Bangalore, Karnataka, INDIA


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.

Graph of equation 4 using values of a and b as obtained after fitting the non-linear least square curve

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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. 2018;7(1):48-53. doi:10.5530/jscires.7.1.7.