# The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

**Authors:** David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz, Antonio Gonzalez-Pardo, Erik Cambria  
**arXiv:** [2002.09485](https://arxiv.org/abs/2002.09485)  
**Date:** 2020-02-21  
**Summary page:** https://www.summarizepaper.com/en/paper/2002.09485v1/

## Key points

- The paper provides an overview of social network analysis (SNA) and its growth in recent years.
- It offers a literature review on the state-of-the-art in SNA, serving as a resource for researchers and practitioners.
- The authors propose four dimensions in SNA: Pattern & Knowledge Discovery, Information Fusion & Integration, Scalability, and Visualization.
- They define metrics within these dimensions to evaluate different software tools and frameworks used in SNA.
- The authors analyze and rank 20 popular SNA software tools using these metrics, highlighting their strengths and weaknesses.
- A scientometric study is conducted to identify active research areas and application domains within SNA.
- The work contributes to advancing social network technologies by providing a quantitative assessment of their maturity.
- The defined dimensions and metrics offer a systematic approach to evaluating SNA tools and frameworks.
- The literature review and scientometric study provide insights into current research trends and future challenges in the field.

## Summary

The paper titled "The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools" provides a comprehensive overview of the field of social network analysis (SNA). The authors highlight the exponential growth in recent years of social network-based applications and attribute this to the fertile ground it offers for testing and developing advanced computational techniques to extract valuable information from the web. The main contribution of this work can be summarized in three parts. Firstly, the authors present an up-to-date literature review on the state-of-the-art in SNA. This review serves as a valuable resource for researchers and practitioners interested in understanding current trends and advancements in this field. Secondly, they propose a set of new metrics based on four essential dimensions in SNA: Pattern & Knowledge Discovery; Information Fusion & Integration; Scalability; and Visualization. By defining these dimensions and associated metrics, they provide a framework for evaluating different software tools and frameworks used in SNA. They analyze and rank 20 popular SNA software tools using these metrics, providing insights into their strengths and weaknesses. Lastly, they present a quantitative analysis of active research areas and application domains within SNA through a scientometric study. This analysis helps identify the most active areas of research within SNA while shedding light on emerging trends. Overall, this work contributes to advancing social network technologies by providing a quantitative assessment of their maturity. The defined dimensions and metrics offer a systematic approach to evaluate different aspects of SNA tools and frameworks. Additionally, the comprehensive literature review and scientometric study provide valuable insights into current research trends as well as future challenges in this rapidly evolving field.