Wiese, LenaMeyer, HolgerRitter, NorbertThor, AndreasNicklas, DanielaHeuer, AndreasKlettke, Meike2019-04-152019-04-152019978-3-88579-684-8https://dl.gi.de/handle/20.500.12116/21813This tutorial presents perspectives for advanced graph data analytics and covers the background of graph data management in modern data stores. It provides an overview of several well-established graph algorithms. The three categories covered are path-based algorithms, community detection and centrality scores. A deeper understanding of graph algorithms is a major precondition to efficiently analyze graph-structured data. The tutorial hence enables participants to achieve an informed decision about what kind of algorithm is appropriate for which use case.en10.18420/btw2019-ws-261617-5468