动态图形管理流媒体社交媒体分析

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI:10.1145/2933267.2933515

Christos Vlassopoulos, Ioannis Kontopoulos, Michail Apostolou, A. Artikis, D. Vogiatzis

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引用次数: 4

摘要

我们提出了一个分析流媒体社交媒体的系统，该系统根据每个帖子的年龄和评论数量计算最活跃的帖子，并跟踪由喜欢相同内容的朋友组成的最大社区。为了处理高速数据流，我们实现了一种用于增量更新表示社交网络的图的算法。我们的系统评估是基于DEBS 2016挑战赛的数据集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic graph management for streaming social media analytics

We present a system for analytics on streaming social media that computes the most active posts, based on the age and the amount of comments for each post, and tracks the largest communities that comprise friends that are fond of the same content. To deal with high velocity data streams, we implemented an algorithm for incrementally updating graphs expressing social networks. The evaluation of our system is based on the datasets of the DEBS 2016 challenge.

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Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems

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