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Influential Node Analysis in Covid-19 Spread

  • R. Adithyan,
  • D. Punitha,
  • P. Rahul,
  • K. S. Vithun

摘要

Social Network Analysis, is an approach for investigating social structures which is referred to as structural analysis. A network is a group of individuals or entities that are related to each other. It may be represented as a graph. Each element represents the infected cases traveling from one place to another and is visualized in the form of a graph with nodes. The project proposes to carry out a visual inspection of the various stages of the spread of the Indian subcontinent and find the most influential node in the network using social network algorithms. The whole time period is divided into several parts to visualize during which the virus spreads throughout the country. The model aims to find the most influenced state (influential node analysis) that is responsible for the influence of the virus.