The road towards graph exploration
The increasing interest in social networks, protein-interaction, and many other types of networks has raised the question how users can explore such large and complex graph structures in an intuitive way. Nowadays, these networks count billions of nodes and relationships and are used to study complex phenomena, such as social behaviors, marketing campaigns, and economic factors.
Given this complexity and size, interactive algorithms would naturally assist the human in finding interesting information in graphs. Interactive algorithms and exploratory methods have been studied for more traditional data, such as relation, semi-structured, and textual data, to allow intuitive data exploration.
In this talk, I will present my previous work on graph query reformulation, as a first step towards interactive algorithms for graphs. I will also show our recently started projects and collaborations in HPI, as well as my intended agenda for the next months.