  With the advancement of information technology, more people, especially young
adults, are getting addicted to the use of different social media platforms.
Despite immense useful applications in communication and interactions, the
habit of spending excessive time on these social media platforms is becoming
addictive, causing different consequences, like anxiety, depression, health
problems, and many more. Here, we mathematically explored a model of social
media addiction, including a peer-influence relapse. We have further done the
complex network analysis for a heterogenic synthetic society. Finally, we
explore spatiotemporal pattern formation in a diffusive social system using the
reaction-diffusion approach. Our model shows how the existent nonlinearity in
the system makes it difficult to make society social media addiction free once
it crosses a certain threshold. Some possible strategies are explored
mathematically to prevent social media addiction, and the importance of
peer-influenced relapse has been identified as a major barrier.
