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Social Network Analysis examines interconnected social systems, including the influential node analysis of the COVID-19 network in India. This method visualizes virus spread by observing the movement between states, each represented as a node. It provides insights into the dynamics of the pandemic and its transmission patterns.

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Influential node analysis in COVID-19 Spread

Social Network Analysis, also known as structural analysis, is a method employed to examine interconnected social systems. In the context of the influential node analysis of the COVID-19 network, this technique visualizes the virus's spread in India by observing the movement of individuals between states, each represented as a node. Unlike the existing systems, this project introduces a novel approach by showcasing the trend of COVID-19 spread throughout the year, providing insights into different time periods. Utilizing two datasets, the analysis portrays the virus's movement, utilizing a travel dataset to represent infected cases moving from one state to another, with edges symbolizing these transmissions. The project addresses the absence of a method to visualize the spread of the coronavirus and aims to understand its origin and progression from Kerala across India during distinct time intervals.

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Social Network Analysis examines interconnected social systems, including the influential node analysis of the COVID-19 network in India. This method visualizes virus spread by observing the movement between states, each represented as a node. It provides insights into the dynamics of the pandemic and its transmission patterns.

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