A comparative study of the fast and slow progression of diabetes and network analysis by graphical measures Krishnan Athira*, Manjusha R** Amrita Vishwa Vidyapeetham, Amritapuri Campus, India *Corresponding Author E-mail: athirakrishnankurup@gmail.com
**manjushar@am.amrita.edu
Online Published on 13 October, 2023. Abstract Graphical measures such as closeness, average length, the eccentricity of a vertex estimates how fast the flow of information would be through a given node to other. In this paper, we analysing networks and aim is to find the most important nodes in a network. Thereby in a social network we can evaluate whether combinations of symptoms or addition of other symptoms can better classifypersons for assessing any criteria.Also, we study the betweenness centrality of a vertex that measures the collision domain in a network. Top Keywords Network, Closeness, Average length, Collision domain, Disease diagnosis. Top |