Abstract
Social network analysis (SNA) has emerged as one of the most dynamic methodological frameworks in the social sciences. This article provides a comprehensive comparative review of the principal methodological approaches used in SNA research, examining their strengths, limitations, and appropriate applications across different research contexts.
Key Findings
The review identifies significant methodological diversity within SNA, ranging from purely quantitative graph-theoretical approaches to qualitative ethnographic network studies.
- Software tools such as UCINET, Pajek, and Gephi have made sophisticated network analysis accessible to non-specialist researchers
- Mixed-methods approaches combining structural analysis with qualitative interpretation produce the richest insights
- Ethical considerations in network research require careful attention, particularly regarding privacy and informed consent
- Dynamic network analysis methods are increasingly important for understanding social change
Methodology
This review systematically examines published SNA research across major social science journals from 2000-2010, categorising studies by methodological approach, software tools employed, and research domain.
Implications
The article offers practical guidance for researchers considering SNA methods, helping them select appropriate tools and approaches for their specific research questions. It emphasises the importance of methodological transparency and the need for ongoing development of network analysis techniques suited to social science applications.
