Implementation of Control Measure in the Crisis Using Social Networks

Abstract

The social networks play an important role in information dynamics. The social media introduces the complex network theory in the form of social networks. The important information can be retrieved in the form of specific keywords. These specific keywords give the informatics digraph from which the future impact of information can be predicted. The role of social network through the social media plays an important role in various domains like: social security, terrorist attack, geographical crisis, infectious virus epidemic and community crisis. This paper presents the social media based digraph modeling carrying specific keywords used to detect the impact of information on social connected community through: Facebook, Twitter, Flicker, and YouTube. These informatics digraphs are constructed through the condensation of links with equivalent weights, connected to the nodes with high out degrees. The different communities are identified from the state transition matrix of the extracted digraph with same eigenvalues. By predicting the futuristic impact of these distinct communities, one can apply the control measures on them.