Using Metagraph Approach for the Big Data Based Graph Processing

Highlights

  • "Thus, the metagraph is a complex graph model, whereas the hypergraph is a near flat graph model that does not fully implement the emergence principle."

Conclusion

  • The key element of the metagraph model is metavertex. From the general system theory point of view, a metavertex is a particular case of the manifestation of the emergence principle, which means that a metavertex with its private attributes and connections becomes a whole that cannot be separated into its component parts.
  • The metagraph model is a complex graph model, whereas the hypergraph is a near flat graph model that does not fully implement the emergence principle. Also, the metagraph model is more flexible than the hypernetwork model.
  • The main elements of the metagraph data model may be represented in textual form using the predicate description.
  • The metagraph model may be transformed into a flat graph model based on the multipartite graphs.
  • The generalized structure of the metagraph Big Data processing engine makes it possible to process the metagraph datausing the traditional “Big Data flat graph processing engine.”

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