EPIDEMIC SPREAD ANALYSIS IN SOCIAL COMMUNICATION NETWORKS WITH SIR MODEL

Compartmental mathematical models are frequently used in epidemiology. These types of rely on some assumptions, such as the homogeneity society and equal contact ratio everyone, to model real-life events mathematically. In real life, due heterogeneous nature social network that constitutes society, rates times individuals vary. sudden new epidemics, solutions vaccines slow down or end epidemics may be limited. cases, it becomes more important use limited resources with maximum efficiency. this study, estimation results disease spread homogeneous population structures were compared using SIR compartment model. The dataset obtained from science gallery Dublin 2009 was illustrate community structure life. exhibition, simulated when different degrees centrality formed by visitors who made face-to-face contacts immunized. When compared, case vaccination high betweenness centrality, infection occurs 14,39% less than accepted models.