# Social Network Analysis Taxonomy Based on Graph Representation

arXiv: https://arxiv.org/abs/2102.08888 · HTML: https://mlsanity.com/paper/2102.08888/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Feb 2021.

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

- [AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks](https://mlsanity.com/paper/2502.21196/) (2025)

## Abstract (arXiv)

There are three approaches in the current social network analysis study: Graph Representation, Content Mining, and Semantic Analysis. Graph Representation has been used for analyzing social network topology, structural modeling, tie-strength, community detection, group cohesion visualization, and metrics computations. This paper provides a taxonomy of social network analysis based on its graph representation.