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Reseach Article

Discovering Prominent Key Opinion Leaders: A Corona Pandemic Case

by Priya Shelke, Manas Kulkarni, Suruchi Dedgaonkar, Sanul Raskar
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

@article{ 10.5120/ijca2022921944,
author = { Priya Shelke, Manas Kulkarni, Suruchi Dedgaonkar, Sanul Raskar },
title = { Discovering Prominent Key Opinion Leaders: A Corona Pandemic Case },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 6 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number6/32331-2022921944/ },
doi = { 10.5120/ijca2022921944 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:44.671112+05:30
%A Priya Shelke
%A Manas Kulkarni
%A Suruchi Dedgaonkar
%A Sanul Raskar
%T Discovering Prominent Key Opinion Leaders: A Corona Pandemic Case
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 6
%P 5-11
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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  2. COVID-19 live Map-https://news.google.com/covid19/map
  3. Zhou, H., Zeng, D. and Zhang, C., 2009, June.: Finding leaders from opinion networks In: 2009 IEEE International Conference on Intelligence and Security Informatics (pp. 266-268). IEEE
  4. Duan, J., Zeng, J., Luo, B.: Identification of Opinion Leaders Based on User Clustering andSentiment Analysis. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence(WI) and Intelligent Agent Technologies (IAT)
  5. Liu, H., Yu, X., Lu, J.: Identifying Top-N Opinion Leaders on Local Social Network. In: Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on Date 19-20 Aug. 2013.
  6. Identifying Key opinion leaders using social network analysis. Cognizant System Private Limited’s White Paper on June 2015.
  7. Zhou, H., Zeng, D., Zhang, C.: Finding Leaders from Opinion Networks. In: Intelligence and Security Informatics, 2009. ISI ’09. IEEE International Conference on Date 8-11 June 2009.
  8. Duan, J., Zeng, J., Luo, B.: Identification of Opinion Leaders Based on User Clustering and Sentiment Analysis. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
  9. Scopus - https://www.scopus.com
  10. EigenCentrality& PageRank - https://cambridge-intelligence.com/eigencentrality-pagerank/
Index Terms

Computer Science
Information Sciences

Keywords

KOLs covid19 coronavirus network analysis author publication influencer leaders pharmaceutics