• KAUSHIK SINGHA ROY
• PRETI GHOSH
• ARNAB SAHA
• MOZAMMIL ANSARI
• AKASH SINGH

Abstract—Pandemics are large-scale outbreaks of infectious diseases that can greatly increase the mortality rate over a wide geographic area and cause significant disturbance and loss economically, socially, and politically. The growth of epidemics such as COVID-19, 2020, the Asian Flu that began in East Asia in 1957, the Spanish flu 1918 due to the HINI virus, flu pandemic in 1968, which has hampered a large population of human life. Therefore, it is necessary to control the epidemic spreading in society. Only the Govt. initiative is not sufficient to control the epidemic spreading in a network. We only can control this pandemic with the help of individual person level. In this project, our aim is to develop a framework that provides an interface for the users to see their epidemic risk factors and also pandemic-related information. In addition, we are going to develop an algorithm for estimating the risk factor of each user using social network theory. Important features of the proposed framework: • Human Contact tracing using smart-phone’s Bluetooth or WIFI . • Indicates your health / risk status. • Showcase Pandemic updates. • Consists a list of helpline numbers. • Notification Update.

Complex networks , Degree Centrality measure , Graph Theory, Nodes and Edges Calculation.

"A Graph Analytic Approach To Estimate The User Risk Factor During Pandemic.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i413-i423, June-2023, Available :http://www.jetir.org/papers/JETIR2306845.pdf

"A Graph Analytic Approach To Estimate The User Risk Factor During Pandemic.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi413-i423, June-2023, Available at : http://www.jetir.org/papers/JETIR2306845.pdf