ABSTRACT
This chapter demonstrates the potential of the new temporal model by applying it to a reconsideration of network time. The chapter is structured in two parts, responding to two sets of questions. First, what is network time if we define it in terms of network-specific interactive assemblage? What are the events that are relevant to us and what dynamics might shape their patterns of assemblage? Second, given that the network encodes and records all of its interactions, can we use this data to generate an empirical measure of network time? What are the principle challenges that we face and how might the interactionist model help us to respond? The chapter illustrates these abstract questions by delivering an empirical description of network time using data collected from the micro-blogging service Twitter. It walks through the process from event identification through differentiation description and perspective adjustment, and demonstrates how each step changes our understanding of how time is being made in the network.
