A social network approach makes a system consider the connection between singular behavior and population-level patterns and processes in order to comprehend an animal’s behavior. Few works discussed how animal social network structure can be affected by factors ranging from qualities of the environment to attributes of the individual in computer social networks. In relation to individual level social networks, the designing of social associations can be an essential determinant of emotional communication based on signals and vocal parts among animals. At the populace level, arranged structure can impact the designing of natural and transformative procedures, for example, recurrence subordinate choice and sickness and data transmission. This chapter highlights that there is a proof that immediate or circuitous associations are imperative to understand the animal behavior. Computer social networks can be used to identify and analyze the behavior in animal social networks. The rise in popularity of social network analysis in animal behavior research has meant that the number of studies that have examined indirect connections has grown rapidly in recent years. Finally, key problems, challenges, and future trends have been presented.