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

  title={Time-varying social networks in a graph database: a Neo4j use case},
  author={C. Cattuto and M. Quaggiotto and A. Panisson and A. Averbuch},
  journal={First International Workshop on Graph Data Management Experiences and Systems},
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. [...] Key Method Here we introduce a data model for time-varying social network data that can be represented as a property graph in the Neo4j graph database. We use time-varying social network data collected by using…Expand
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