International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 6 |
Year of Publication: 2022 |
Authors: Priya Shelke, Manas Kulkarni, Suruchi Dedgaonkar, Sanul Raskar |
10.5120/ijca2022921944 |
Priya Shelke, Manas Kulkarni, Suruchi Dedgaonkar, Sanul Raskar . Discovering Prominent Key Opinion Leaders: A Corona Pandemic Case. International Journal of Computer Applications. 184, 6 ( Apr 2022), 5-11. DOI=10.5120/ijca2022921944
A 2019 novel coronavirus disease (COVID- 19) outbreak in Wuhan, China has spread quickly nationwide. This paper seeks to provide a forum for the detection of KOLs (Key Opinion Leader) in pharmaceutics and used network analysis to study coronavirus. Our system comprises of the following modules-module 1 is the user interface for entering keywords that show a collection of KOLs and knowledge database, module 2 consists of libraries for network forming dependent on keyword entry, module 3 consists of algorithms for analysis of network formed. This paper contains a literature study that was conducted using network research to classify KOLs. The paper contains the following sections I) Literature survey II) Network Analysis Algorithms III) Our Work IV) Result with COVID-19 keyword V) Comparison with Page Rank algorithm.