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Using DynamoGraph: application scenarios for large-scale temporal graph processing

Published: 11 December 2015 Publication History

Abstract

Current trends in graph analytics show a trend towards analysing networks of ever growing size and a strong interest of analysing chronological development in networks. This paper provides a brief introduction to possible processing paradigms for large-scale temporal graphs and a real-world implementation called DynamoGraph. The paper motivates the necessity of further research in this area by highlighting three use-case scenarios. It is elaborated how the click-behavior of users visiting the web can be used to better understand the structure of the actively used web, it shows how temporal graphs provide a model for social network analysis over online discourse, and it provides first insight in how temporal graph analytics can help us better understand social learning networks.

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  • (2016)DynamoGraphProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889293(861-866)Online publication date: 11-Apr-2016

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cover image ACM Other conferences
iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
December 2015
704 pages
ISBN:9781450334914
DOI:10.1145/2837185
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 December 2015

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Author Tags

  1. big data
  2. large graphs
  3. real-time streaming
  4. social network
  5. temporal graphs

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  • (2016)DynamoGraphProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889293(861-866)Online publication date: 11-Apr-2016

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