Analyzing Temporal Graphs with Gradoop
dc.contributor.author | Rost, Christopher | |
dc.contributor.author | Thor, Andreas | |
dc.contributor.author | Rahm, Erhard | |
dc.date.accessioned | 2021-05-04T09:35:34Z | |
dc.date.available | 2021-05-04T09:35:34Z | |
dc.date.issued | 2019 | |
dc.description.abstract | The temporal analysis of evolving graphs is an important requirement in many domains but hardly supported in current graph database and graph processing systems. We therefore have started with extending the distributed graph analysis framework Gradoop for temporal graph analysis by adding time properties to vertices, edges and graphs and using them within graph operators. We outline these extensions and illustrate their use within analysis workflows. We further describe the implementation of the snapshot and diff operators and evaluated them. | de |
dc.identifier.doi | 10.1007/s13222-019-00325-8 | |
dc.identifier.pissn | 1610-1995 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s13222-019-00325-8 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36379 | |
dc.publisher | Springer | |
dc.relation.ispartof | Datenbank-Spektrum: Vol. 19, No. 3 | |
dc.relation.ispartofseries | Datenbank-Spektrum | |
dc.subject | Evolving Graph Analysis | |
dc.subject | Temporal Graph Data Model | |
dc.subject | Temporal Property Graph | |
dc.title | Analyzing Temporal Graphs with Gradoop | de |
dc.type | Text/Journal Article | |
gi.citation.endPage | 208 | |
gi.citation.startPage | 199 |