Understanding Trolls with Efficient Analytics of Large Graphs in Neo4j

David Allen, Amy Hodler, Michael Hunger, Martin Knobloch, William Lyon, Mark Needham, Hannes Voigt. Understanding Trolls with Efficient Analytics of Large Graphs in Neo4j. In Torsten Grust, Felix Naumann, Alexander Böhm 0002, Wolfgang Lehner, Theo Härder, Erhard Rahm, Andreas Heuer 0001, Meike Klettke, Holger Meyer 0001, editors, Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings. Volume P-289 of LNI, pages 377-396, Gesellschaft für Informatik, Bonn, 2019. [doi]

@inproceedings{AllenHHKLNV19,
  title = {Understanding Trolls with Efficient Analytics of Large Graphs in Neo4j},
  author = {David Allen and Amy Hodler and Michael Hunger and Martin Knobloch and William Lyon and Mark Needham and Hannes Voigt},
  year = {2019},
  doi = {10.18420/btw2019-23},
  url = {https://doi.org/10.18420/btw2019-23},
  researchr = {https://researchr.org/publication/AllenHHKLNV19},
  cites = {0},
  citedby = {0},
  pages = {377-396},
  booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings},
  editor = {Torsten Grust and Felix Naumann and Alexander Böhm 0002 and Wolfgang Lehner and Theo Härder and Erhard Rahm and Andreas Heuer 0001 and Meike Klettke and Holger Meyer 0001},
  volume = {P-289},
  series = {LNI},
  publisher = {Gesellschaft für Informatik, Bonn},
  isbn = {978-3-88579-683-1},
}