# The Structure and Dynamics of Knowledge Graphs, with Superficiality

arXiv: https://arxiv.org/abs/2305.08116 · HTML: https://mlsanity.com/paper/2305.08116/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 7 of its 25 references that are in the map.
- First posted on arXiv 14 May 2023.

## Builds on (most cited first, 7 of 7)

- [The structure and dynamics of multilayer networks](https://mlsanity.com/paper/1407.0742/) (2014)
- [Scale-free networks are rare](https://mlsanity.com/paper/1801.03400/) (2018)
- [Growing multiplex networks](https://mlsanity.com/paper/1302.7126/) (2013)
- [An Empirical Meta-analysis of the Life Sciences (Linked?) Open Data on the Web](https://mlsanity.com/paper/2006.04161/) (2020)
- [Coevolution and correlated multiplexity in multiplex networks](https://mlsanity.com/paper/1303.1369/) (2013)
- [Efficient Network Generation Under General Preferential Attachment](https://mlsanity.com/paper/1403.4521/) (2014)
- [A Random Growth Model with any Real or Theoretical Degree Distribution](https://mlsanity.com/paper/2008.03831/) (2020)

## Abstract (arXiv)

Large knowledge graphs combine human knowledge garnered from projects ranging from academia and institutions to enterprises and crowdsourcing. Within such graphs, each relationship between two nodes represents a basic fact involving these two entities. The diversity of the semantics of relationships constitutes the richness of knowledge graphs, leading to the emergence of singular topologies, sometimes chaotic in appearance. However, this complex characteristic can be modeled in a simple way by introducing the concept of superficiality, which controls the overlap between relationships whose facts are generated independently. With this model, superficiality also regulates the balance of the global distribution of knowledge by determining the proportion of misdescribed entities. This is the first model for the structure and dynamics of knowledge graphs. It leads to a better understanding of formal knowledge acquisition and organization.