TY  - GEN
AU  - Madhab Bharman
AU  - Madhab Barman
TI  - Analysis and Simulations of Network-Based  Nonlinear Epidemic Models
U1  - 517.988 MAD 
PY  - 2024///
PB  - Mathematic
KW  - Hopf bifurcation; Epidemic; Compartmental Model; Spatial- disease spread; Population mobility; Graph Laplacian; Local Sta- bilith
N1  - The study of epidemic dynamics is crucial for understanding and controlling the spread; Finally, our work contributes to the evolving field of epidemic modeling by integrating
graph Laplacian diffusion into the framework
N2  - The study of epidemic dynamics is crucial for understanding and controlling the spread

of infectious diseases. In recent years, there has been a growing interest in employ-
ing graph theory and network science to model the complex interactions among in-
dividuals and understand spatial disease spread in a population. This thesis explores

the application of graph Laplacian diffusion in epidemic modeling of well-established

epidemic models such as Susceptible-Infectious-Removed (SIR), Susceptible-Exposed-
Infectious-Removed (SEIR), Susceptible-Asymptomatic-Infectious-Removed (SAIR),

and more
ER  -