“…This growth stems primarily from advances in computational resources and statistical theory (particularly developments in the simulation and analysis of relational data), with additional recent impetus stemming from the rapid growth of Internet-based data collection (e.g., Leskovec, 2011). The scientific study of dynamic networks is pervasive in the social sciences, arising in the context of problems such as the evolution of friendship ties (e.g., Newcomb, 1961), communi-cation and face-to-face interaction over time (e.g., van de Rijt, 2011), the dynamics of disease transmission networks (e.g., sexual contact networks or needle sharing networks; Entwisle et al, 2007), emergent organizational networks during disaster response (e.g., Carley, 1999), and organizational collaboration dynamics (Powell et al, 1996). Beyond the social sciences, dynamic networks have been explored in computer science (e.g., online networks, see Leskovec, 2008), physics (e.g., coevolution of dynamical states and interactions, see Zimmermann et al, 2004) and engineering (e.g., human, cyber and physical traffic engineering, see Wang et al, 2006), among other fields.…”