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Conference object . 2018
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The Graph Traversal Machine: Close Encounters Of The Fourth Kind

Authors: Rodriguez, Marko A.; Mallette, S.;

The Graph Traversal Machine: Close Encounters Of The Fourth Kind

Abstract

Apache TinkerPopTM is an open source graph computing framework. The project is approaching its 10th year of existence and the team is about to embark on its fourth and final major release -- TinkerPop4. This article reviews the technical and mythological aspects of The TinkerPop all the while demonstrating how its lore has driven many of its architectural decisions and vice versa. This historical synopsis ends at the project's denouement with a concluding prospectus detailing the major threads of the final version that will enable the integration of any data query language, any data storage system, and any data processing engine. At the point of unification, in the closing chapter, Gremlin will come to understand the meaning of The TinkerPop and that moment will write the final line of code and sentence on a deep rooted project in the field of graph computing.

Rodriguez, M.A., Mallette, S., "The Graph Traversal Machine: Close Encounters of the Fourth Kind," S/V Red Herring's Ship's Log: Chronicles in the Sea of Cortez, pages 1-10, La Paz, Baja California Sur, Mexico, doi:10.5281/zenodo.1476234, October 2018.

Keywords

tinkerpop, graph theory, gremlin, graph computing

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selected citations
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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.
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