We present a general approach for analyzing structural parameters of a relational event graph within arbitrary query time intervals using colored range query data structures. Relational event graphs generally represent social network datasets, where each graph edge carries a timestamp. We provide data structures based on colored range searching to efficiently compute several graph parameters (e.g., density, neighborhood overlap, h-index).

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Discrete Applied Mathematics
Computational Geometry Lab

Chanchary, F. (Farah), Maheshwari, A, & Smid, M. (2019). Querying relational event graphs using colored range searching data structures. Discrete Applied Mathematics. doi:10.1016/j.dam.2019.03.006