# On bibliographic networks

arXiv: https://arxiv.org/abs/1301.4655 · HTML: https://mlsanity.com/paper/1301.4655/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jan 2013.

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

- [Effect of Toxic Review Content on Overall Product Sentiment](https://mlsanity.com/paper/2201.02857/) (2022)

## Abstract (arXiv)

In the paper we show that the bibliographic data can be transformed into a collection of compatible networks. Using network multiplication different interesting derived networks can be obtained. In defining them an appropriate normalization should be considered. The proposed approach can be applied also to other collections of compatible networks. We also discuss the question when the multiplication of sparse networks preserves sparseness. The proposed approaches are illustrated with analyses of collection of networks on the topic "social network" obtained from the Web of Science.