Time-varying social networks in a graph database: a Neo4j use case

@inproceedings{Cattuto2013TimevaryingSN,
  title={Time-varying social networks in a graph database: a Neo4j use case},
  author={Ciro Cattuto and Marco Quaggiotto and Andr{\'e} Panisson and Alex Averbuch},
  booktitle={GRADES '13},
  year={2013}
}
  • Ciro Cattuto, Marco Quaggiotto, +1 author Alex Averbuch
  • Published in GRADES '13 2013
  • Computer Science
  • Representing and efficiently querying time-varying social network data is a central challenge that needs to be addressed in order to support a variety of emerging applications that leverage high-resolution records of human activities and interactions from mobile devices and wearable sensors. In order to support the needs of specific applications, as well as general tasks related to data curation, cleaning, linking, post-processing, and data analysis, data models and data stores are needed that… CONTINUE READING

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