The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
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Abstract (arXiv)
Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile place to test and develop the most advanced computational techniques to extract valuable information from the Web. The main contribution of this work is three-fold: (1) we provide an up-to-date literature review of the state of the art on social network analysis (SNA);(2) we propose a set of new metrics based on four essential features (or dimensions) in SNA; (3) finally, we provide a quantitative analysis of a set of popular SNA tools and frameworks. We have also performed a scientometric study to detect the most active research areas and application domains in this area. This work proposes the definition of four different dimensions, namely Pattern & Knowledge discovery, Information Fusion & Integration, Scalability, and Visualization, which are used to define a set of new metrics (termed degrees) in order to evaluate the different software tools and frameworks of SNA (a set of 20 SNA-software tools are analyzed and ranked following previous metrics). These dimensions, together with the defined degrees, allow evaluating and measure the maturity of social network technologies, looking for both a quantitative assessment of them, as to shed light to the challenges and future trends in this active area.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Feb 2020.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 2.
9 papers.
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- 2024Large Language Models can Achieve Social Balancecited by 5
- 2022CHIEF: Clustering with Higher-order Motifs in Big Networkscited by 3
- 2022Learnability of Competitive Threshold Modelscited by 2
- 2025A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospectscited by 1
- 2023MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Datacited by 0
- 2024DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networkscited by 0
- 2025The challenge of uncertainty quantification of large language models in medicine7 Apr 2025
- 2025A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects6 Apr 2025
- 2024Large Language Models can Achieve Social Balance5 Oct 2024
- 2024DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks1 Aug 2024
- 2024A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability13 Jun 2024
- 2023MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data22 Oct 2023
- 2023A Comprehensive Survey on Deep Graph Representation Learning11 Apr 2023
- 2022Learnability of Competitive Threshold Models8 May 2022
- 2022CHIEF: Clustering with Higher-order Motifs in Big Networks6 Apr 2022