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

1, 1★, 2, 1★ Corresponding author

  1. 1Department of Computer Science and Engineering, PESIT Bangalore South Campus, Bangalore, Karnataka, INDIA.
  2. 2Indian Statistical Institute, SSIU, Bangalore, Karnataka, INDIA.

CORRESPONDENCE

Poulami Sarkar

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

poulamirulz@gmail.com

Received: 10-03-2018; Revised: 16-04-2018; Accepted: 03-05-2018.

Volume 7, Issue 1 · pp. 48-53 · 2018 · 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.

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    Saha, S., Sarkar, P., Mathur, A., & Basak, S. (2018). 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

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    © 2018 Author(s)

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. CC BY-NC-SA 4.0