Encyclopedia of Big Data Technologies

2019 Edition
| Editors: Sherif Sakr, Albert Y. Zomaya

Historical Graph Management

  • Udayan KhuranaEmail author
  • Amol DeshpandeEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-77525-8_210

Definitions

Real-world graphs evolve over time, with continuous addition and removal of vertices and edges, as well as frequent change in their attribute values. For decades, the work in graph analytics was restricted to a static perspective of the graph. In recent years, however, we have witnessed an increasing abundance of timestamped observational data, fueling an interest in performing richer analysis of graphs, along a temporal dimension. However, the traditional graph data management systems that were designed for static graphs provide inadequate support for such temporal analyses. We present a summary of recent advances in the field of historical graph data management. They involve, compact storage of large graph histories, efficient retrieval of temporal subgraphs, and effective interfaces for expressing historical graph queries, essential for enabling temporal graph analytics.

Overview

There is an increasing availability of timestamped graph data – from social and...

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.IBM Research AITJ Watson Research CenterNew YorkUSA
  2. 2.Computer Science DepartmentUniversity of MarylandCollege ParkUSA