One in Four Is Enough – Strategies for Selecting Ego Mailboxes for a Group Network View

Recently, researchers have started analyzing e-mail archives of individuals and groups as an approximation of social ties. It can be hard to obtain complete e-mail archives covering all exchanges between a group of individuals. Frequently, only e-mailboxes of a subset of the analyzed actors are available for analysis. In this project we report on some experiments to find the best ego networks (i.e. mailboxes) to give a “reasonably ” complete picture of the full social group network. We also report on the stability of social network metrics with respect to incomplete networks. We have collected the complete individual mailboxes over a period of 20 weeks of 53 researchers working in the same lab, collaborating on different (research and formative) projects. We have done a series of simulations to identify the best strategies and metrics for analysis of incomplete e-mail networks. Applying snowball sampling and subsequently adding more members of the group, we have compared a globally optimal selection strategy, adding the next-best member with respect to the chosen metric, a locally best strategy, adding the next best member within the already known network, and a random selection strategy. As sampling metrics, we used individual and group betwenness centrality, group density, number of nodes and edges, and others. We have categorize