# A Tensor Based Data Model for Polystore: An Application to Social Networks Data

arXiv: https://arxiv.org/abs/1806.09967 · HTML: https://mlsanity.com/paper/1806.09967/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jun 2018.

## Built on by (most cited first, 1 of 1)

- [A Sparse Tensor Generator with Efficient Feature Extraction](https://mlsanity.com/paper/2405.04944/) (2024)

## Abstract (arXiv)

In this article, we show how the mathematical object tensor can be used to build a multi-paradigm model for the storage of social data in data warehouses. From an architectural point of view, our approach allows to link different storage systems (polystore) and limits the impact of ETL tools performing model transformations required to feed different analysis algorithms. Therefore, systems can take advantage of multiple data models both in terms of query execution performance and the semantic expressiveness of data representation. The proposed model allows to reach the logical independence between data and programs implementing analysis algorithms. With a concrete case study on message virality on Twitter during the French presidential election of 2017, we highlight some of the contributions of our model.