*Relationships play a significant role in initiation of an addictive behavior, especially for teenagers and young adults. However, the impact of these relationships varies depending on the individual's position in their social network. For instance, consumers who are linked with highly addicted peers will tend to engage more in addictive behavior, and eventually become addicted. This paper presents a dynamic model of consumption choice in a network, which includes an addictive good. A consumer's  level of addiction is influenced not only by their own past consumption but also by the current consumption of the other agents. In this model, consumers are connected through a friendship network and are directly influenced only by their immediate neighbors. I consider three different types of agents : myopic consumers, rational consumers and present biased consumers. They differ in their attitude toward the future consequences of their current consumption choices.

**Time is a limited resource that individuals allocate to activities such as work or leisure, but also towards relationships. Spending time with other people is crucial in individual lives, as it reduces perceived loneliness and increases well-being. There are different ways of spending time with others. For example, people allocate their time to socializing with friends, but also to care provision for close relatives who need assistance, companionship, and support, such as old parents. In this sense, the aging of the population is increasing the demand for care time, modifying the time allocation choices concerning other social activities. Within this framework, I study a model of time allocation choices in a network setting. Individuals can be part of two fixed networks: a friends network and a family network. They can allocate their non-working time to social time with friends and to care time towards family. Social time presents strategic complementarities with the social time of their friends, while care time is a strategic substitute for the care time of other family members. I explore the trade-off in time allocations within specific network structures, accounting for the well-being of the care recipient.