Real-time social network graph analysis using StreamMine3G-Reference-Cited by-同舟云学术

Real-time social network graph analysis using StreamMine3G

Published:2016-06-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems
language:
Short-container-title:

Author:

Martin André¹,Brito Andrey²,Fetzer Christof¹

Affiliation:

1. Technische Universität Dresden, Dresden, Germany

2. Universidade Federal de Campina Grande, PB, Brazil

Funder

European Community

German Excellence Initiative, Center for Advancing Electronics Dresden (cfAED)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2933267.2933514

Reference15 articles.

1. Apache flink: Scalable batch and stream data processing. https://flink.apache.org/ 2016. Apache flink: Scalable batch and stream data processing. https://flink.apache.org/ 2016.

2. Apache s4 - distributed stream computing platform. https://incubator.apache.org/s4/ 2016. Apache s4 - distributed stream computing platform. https://incubator.apache.org/s4/ 2016.

3. Apache samza - a distributed stream processing framework. http://samza.incubator.apache.org/ 2016. Apache samza - a distributed stream processing framework. http://samza.incubator.apache.org/ 2016.

4. Apache storm - distributed and fault-tolerant realtime computation. https://storm.incubator.apache.org/ 2016. Apache storm - distributed and fault-tolerant realtime computation. https://storm.incubator.apache.org/ 2016.

5. Redis. http://redis.io/ 2016. Redis. http://redis.io/ 2016.

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