Abstract
We introduce the Tink library for distributed temporal graph analytics. Increasingly, reasoning about temporal aspects of graph-structured data collections is an important aspect of analytics. For example, in a communication network, time plays a fundamental role in the propagation of information within the network. Whereas existing tools for temporal graph analysis are built stand alone, Tink is a library in the Apache Flink ecosystem, thereby leveraging its advanced mature features such as distributed processing and query optimization. Furthermore, Flink requires little effort to process and clean the data without having to use different tools before analyzing the data. Tink focuses on interval graphs in which every edge is associated with a starting time and an ending time. The library provides facilities for temporal graph creation and maintenance, as well as standard temporal graph measures and algorithms. Furthermore, the library is designed for ease of use and extensibility.
Original language | English |
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Title of host publication | 27th International Conference on World Wide Web (WWW) |
Publisher | Association for Computing Machinery, Inc |
Pages | 71-72 |
Number of pages | 2 |
ISBN (Electronic) | 9781450356404 |
DOIs | |
Publication status | Published - 23 Apr 2018 |
Event | WWW'18 The Web Conference - Lyon, France Duration: 23 Apr 2018 → 27 Apr 2018 |
Conference
Conference | WWW'18 The Web Conference |
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Country | France |
City | Lyon |
Period | 23/04/18 → 27/04/18 |
Keywords
- apache flink
- temporal graph analytics
- tink