Analyzing Human Communities by Interaction and Role Indices

Abstract

A Human community (network) is formed when human eProfiles (nodes) are linked (edges) and interact with each other. We propose two indices namely, Interaction Index (II) and Role Index (RI), which will help in analyzing human community. Interaction Index will estimate the intensity of communication of one human on other. Role Index will determine the participation status of each individual in a human community. This analysis will be used in our ongoing research and development of Community Algorithm. It will help in classifying individuals depending on their interaction in any human community based on human eProfiles.