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Presentation . 2022
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Other literature type . 2022
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License: CC BY
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A Taxonomy of Graph Analytics

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 28 Apr 2022Publisher:Zenodo
Authors: Powell, Harry;

doi: 10.5281/zenodo.6500862 , 10.5281/zenodo.6500861

A Taxonomy of Graph Analytics

Abstract

The take up of graph databases is slowed because practitioners find it hard to think about data stored in graphs. In this presentation, I will share a taxonomy of graph data analytics, which reduces all graph analyses to 4 pairs of abstractions. I will show how this makes it easier to solve graph analytics problems. Each element will be presented alongside typical business problems from a number of different industries and linked to real use cases.

Keywords

Knowledge Graph, Graph Data Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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