ABSTRACT
The second wave of the COVID-19 pandemic affected economy resulting in job loss for many throughout the world. The main objective is to analyze the Indian revenues before COVID-19, i.e., before December 2019 and the ongoing COVID-19 pandemic. A comparison is done between the revenues that are collected from various departments sectors for the years 2019–2020 and 2020–2021 to find out how the COVID-19 has affected the Indian economy as well as jobs for millions of people. Studying the network through social network analysis helps us to understand clearly how the Indian economy has changed during the COVID-19 period. The network is studied using an average path along with a weighted path to ascertain the small word characteristics. Centrality measures helps us to understand the characteristics of the dataset. The tools used to analyze them are designed using Gephi. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.