ContactTrees: A Technique for Studying Personal Network Data.

摘要: Network visualization allows a quick glance at how nodes (or actors) are connected by edges ties). A conventional network diagram of "contact tree" maps out root and branches that represent the structure edges, often without further specifying leaves or fruits would have grown from small branches. By furnishing such with fruits, we reveal details about "contacts" in our ContactTrees underline ties relationships. Our elegant design employs bottom-up approach resembles recent attempt to understand subjective well-being means series emotions. Such social-network studies decomposes each tie into interactions contacts, which help deepen understanding complexity embedded structure. Unlike previous visualizations, can highlight relationships form change based upon among actors, networks vary contact attributes. Based on botanical tree metaphor, is easy construct resulting tree-like display many properties both levels, key ingredient missing techniques visualization. We first demonstrate using dataset consisting three waves 3-month diaries over 2004-2012 period, then compare alternative tools discuss this tool be applied other types datasets.