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

@article{Cattuto2013TimevaryingSN,
  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},
  year={2013}
}
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
54 Citations
DynamoGraph: extending the Pregel paradigm for large-scale temporal graph processing
  • 11
Towards Cloud-Based Distributed Scaleable Processing over Large-Scale Temporal Graphs
  • 2
Evolving Centralities in Temporal Graphs: A Twitter Network Analysis
  • 19
  • PDF
Backlogs and Interval Timestamps: Building Blocks for Supporting Temporal Queries in Graph Databases
  • 6
  • PDF
Time Traveling in Graphs using a Graph Database
  • 16
  • Highly Influenced
  • PDF
Time-Dependent Graphs: Definitions, Applications, and Algorithms
  • 20
  • PDF
Historical Traversals in Native Graph Databases
  • 7
  • Highly Influenced
  • PDF
Towards a Systematic Approach to Graph Data Modeling: Scenario-based Design and Experiences
  • 1
  • PDF
Provenance Framework for Twitter Data using Zero-Information Loss Graph Database
...
1
2
3
4
5
...

References

Graph Exchange XML Format). http://gexf.net/format
  • GEXF
  • 2007