Abstract
Graph models have a long standing history as models for real world structures and processes. In recent research two important dimensions of graphs are described of particular importance. (1) Temporal aspects of graphs cannot be neglected for many current application scenarios such as social network analysis or the analysis of the global web graph. (2) The mentioned graph structures have grown to very large sizes such that traditional methodologies no longer hold. In this work a distributed computing framework designed for storing and processing of large-scale temporal graphs is presented. For this system a reference implementation in Java was created. In this paper first insight on the implementation and observations in using the system are discussed.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 25th International Conference Companion on World Wide Web |
| Publisher | ACM |
| Pages | 861-866 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450341448 |
| ISBN (Print) | 978-1-4503-4144-8 |
| DOIs | |
| Publication status | Published - 2016 |
Fields of science
- 202038 Telecommunications
- 102 Computer Sciences
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102013 Human-computer interaction
- 102015 Information systems
- 102021 Pervasive computing
- 102025 Distributed systems
- 102027 Web engineering
JKU Focus areas
- Computation in Informatics and Mathematics
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