vikram sagar - Academia.edu (original) (raw)

vikram sagar

Uploads

Papers by vikram sagar

Research paper thumbnail of Effect of Heterogeneous Transmission Rate on Epidemic Spreading Over Scale Free Networks

arXiv: Physics and Society, 2016

In the present work the spread of epidemic is studied over complex networks which are characteriz... more In the present work the spread of epidemic is studied over complex networks which are characterized by power law degree distribution of links and heterogeneous rate of disease transmission. The random allocation of epidemic transmission rates to the nodes results in the heterogeneity, which in turn causes the segregation of nodes in terms of various sub populations. The aim of the study is to gain microscopic insight into the effect of interactions among various sub populations in the spreading processes of disease over such networks. The discrete time Markov chain method based upon the susceptible infected susceptible (SIS) model of diseases transmission has been used to describe the spreading of epidemic over the networks. The study is parameterized in terms of variable lambda\lambdalambda, defined as the number of contacts a node makes with the fraction of its neighboring nodes. From the simulation results, it is found that the spread of epidemic on such networks is critical in terms of nu...

Research paper thumbnail of Effect of Heterogeneous Transmission Rate on Epidemic Spreading Over Scale Free Networks

arXiv: Physics and Society, 2016

In the present work the spread of epidemic is studied over complex networks which are characteriz... more In the present work the spread of epidemic is studied over complex networks which are characterized by power law degree distribution of links and heterogeneous rate of disease transmission. The random allocation of epidemic transmission rates to the nodes results in the heterogeneity, which in turn causes the segregation of nodes in terms of various sub populations. The aim of the study is to gain microscopic insight into the effect of interactions among various sub populations in the spreading processes of disease over such networks. The discrete time Markov chain method based upon the susceptible infected susceptible (SIS) model of diseases transmission has been used to describe the spreading of epidemic over the networks. The study is parameterized in terms of variable lambda\lambdalambda, defined as the number of contacts a node makes with the fraction of its neighboring nodes. From the simulation results, it is found that the spread of epidemic on such networks is critical in terms of nu...

Log In