Dynamic Evolution and Visualization of Social Networks
Groups, teams, and communities evolve over time. One way they evolve is the dynamic network of relationships among members. We aim to explore several fundamental questions in these evolutionary dynamics: How does the structure of the network change as people interact? How and when do structural holes form and are they tied to specific activities? How do characteristics of the group influence how networks evolve? We plan to use secondary de-identified data from Givitas, a collaborative technology platform that two of us (Baker, Lampe) helped to create, as well as other de-identified data. With these data, we can examine how specific features of an application relate to changes in the network over time. For example, are different features used early in the formation of the network than in later stages? Do users start building in new communication channels to support their networks? How does organizational structure affect network formation over time?