Thursday 28th of March 2024
 

Analysis of social network - An approach towards evaluation of spreading of epidemics in randomized social Network.


Rasmita Panigrahi and Trilochan Rout

Classifying nodes in a network is a task with wide range of applications .it can be particularly useful in epidemics detection .Many resources are invested in the task of epidemics and precisely allow human investigators to work more efficiently. This work creates random and scale- free graphs the simulations with varying relative infectiousness and graph size performed. By using computer simulations it should be possible to model such epidemic Phenomena and to better understand the role played by the different parameters. Such simulations can then be used to study potential measures that can be taken to prevent or at least hinder the epidemic from spreading. Four different type s of network were used represent different structures of connection between individuals: random, scale-free, small-world and small-world with weighted edges. We have varied several free parameters of the graphs and diseases to study their role in disease spreading, for example to #64257;ndout whether the speed of disease spreading and the number of affected individuals will change. The size of the network has also been modified to determine how epidemics in small networks relate to epidemics in large ones. Variations in infectiousness of the disease have also been studied to see if there is some minimum value of this parameter under which the epidemic does not spread and to determine what effects it changes have on spreading of the disease. Then the latency period of the disease has been have on spreading of the disease. Then the latency period of the disease has been Varied in an attempt to observe differences between diseases with and without a latency Period. Finally simulations for different mean degrees of the network have been performed to determine an effect on characteristics of epidemics. We have implement a simple model of epidemics spreading in networks described by arbitrary graphs. We have then performed simulations to study how certain characteristics of the epidemics depend on the structure of the network and several parameters of our model. The four types of networks used in this project are: random networks, scale-free networks according to unweighted and weighted small-world networks.

Keywords: Social Network Analysis(SNA), Social Network Analysis for risk evaluation(SNARE), General leadger 1(GL1), General leadger 2(GL2), Computer Mediator communication(CMC), Internet Relay chat(IRC).

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ABOUT THE AUTHORS

Rasmita Panigrahi
Asst prof In CSE dept. NMIET,BHUBANESWAR

Trilochan Rout
Asst prof In CSE dept. NMIET,BHUBANESWAR


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