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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Lecture Notes in Computer Science
Computational Geometry Lab

Chanchary, F. (Farah), Maheshwari, A, & Smid, M. (2017). Querying relational event graphs using colored range searching data structures. In Lecture Notes in Computer Science. doi:10.1007/978-3-319-53007-9_8