立场文件:双时动态图形分析

Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) Pub Date : 2021-06-20 DOI:10.1145/3461837.3464514

Hassan Halawa, M. Ripeanu

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引用次数: 1

摘要

今天的大多数图形分析系统对静态图形建模，并且不支持需要以下能力的业务用例:(i)查询时间演变系统的动态图形数据，(ii)对其历史演变进行调查，以及(iii)审计过去使用可能过时或不正确的数据做出的业务决策。本文介绍了我们对双时态动态图形分析的愿景，并概述了一个有效支持这些需求的系统设计。

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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Position paper: bitemporal dynamic graph analytics

Most of today's graph analytics systems model static graphs and do not support business use cases that require the ability to: (i) query the dynamic graph data for a time-evolving system, (ii) carry out investigations on its historical evolution, and (iii) audit past business decisions made with potentially stale or incorrect data. This position paper presents our vision for bi-temporal dynamic graph analytics, and sketches a design for a system that efficiently supports these requirements.

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Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

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