"Network science, network analysis, and network mining are new scientific topics that emerged in recent years and are growing quickly. Instead of studying the properties of entities, network science focus on the interaction between these entities. The tremendous quantity of relational data that become available (Online Social Networks, cell phones, the Internet and the Web, trip datasets, etc.) encourage new research on the topic. In the last years, we witnessed a shift from static network analysis to dynamic ones, i.e., the study of networks whose structure changes over time. As time goes by, all the perturbations which occur in the network topology due to the rise and fall of nodes and edges have repercussions on the network phenomena we are used to observing. As an example, evolution over time of social interactions in a network can play an important role in the diffusion of an infectious disease. Nowadays, one of the most fascinating challenges is to analyze the structural dynamics of real-world networks and how they impact on the processes which occur on them, i.e. the spreading of social influence and diffusion of innovations. Results in this field will enable a better understanding of important aspects of human behaviours as well as to a more detailed characterization of the complex interconnected society we inhabit. Since the last decades, diffusive and spreading phenomena were facilitated by the enormous popularity of the Internet and the evolution of social media that enable an unprecedented exchange of information. For this reason, understanding how social relationships unravel in these rapidly evolving contexts represents one of the most interesting fields of research. The purpose of the third edition of this workshop is to encourage research that will lead to the advancement of the social science in time-evolving networks."

Workshop by Giulio Rossetti and Letizia Milli.