EVERYTHING IS CONNECTED: AN APPROACH TO QUALITATIVE NETWORK RESEARCH. SOCIOLOGICAL REMARKS ON PERSPECTIVES, COMPLEXITIES, AND DIFFICULTIES

Epameinondas Panagopoulos, Ioannis Kamarianos

Abstract


Social Νetwork Αnalysis (SNA) is an important methodological approach but also a valuable instrument for research in social sciences and social issues, including Diversity, Social Capital, and the Trust Crisis. More precisely, a network consists of sets of nodes, ties, and sometimes attributes. Nodes refer to elements of the researcher's project and ties are based on the researcher's interests. In a network, the vital components are the connections and patterns. In the past, the scientific community merely associated social network analysis (SNA) with the quantitative methodological approach. However, this approach has begun to be revised in recent years because the quantitative approach can only solve specific cases that arise in society. On the contrary, qualitative SNA can generate and examine data on numerous social issues. The qualitative SNA is an in-depth approach focusing on the social subject and its connections with other social subjects, institutions, or organizations. This study highlights the importance of a qualitative SNA and offers a distinctive approach to qualitative SNA in the research field.

 

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social network, qualitative research methodology

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References


Ahrens, P. (2018). Qualitative network analysis: A useful tool for investigating policy networks in transnational settings? Methodological Innovations, 11(1). https://doi.org/10.1177/2059799118769816

Borgatti, S.P. (2009). Social Network Analysis, Two-Mode Concepts in. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. New York, NY: Springer. https://doi.org/10.1007/978-0-387-30440-3_491

Carrington, P., Scott, J., & Wasserman, S. (Eds.). (2005). Models and Methods in Social Network Analysis (Structural Analysis in the Social Sciences). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511811395

Coleman, J. S. (1990). Foundations of social theory. Cambridge: Harvard University Press.

Crossley, N. (2019). Social Network Analysis. In The Wiley Blackwell Companion to Sociology (eds G. Ritzer and W.W. Murphy). https://doi.org/10.1002/9781119429333.ch6

Crossley, N., Bellotti, E., Edwards, G., Everett, M., Koskinen, J., & Tranmer, M. (2015). Social network analysis for ego-nets. SAGE Publications Ltd. https://dx.doi.org/10.4135/9781473911871

Curran, Kevin & Curran, Niamh. (2014). Social Networking Analysis. Studies in Computational Intelligence, 546: 367-378. 10.1007/978-3-319-05029-4_15.

Easton, G. (1995). Methodology and Industrial Networks. In: Turnbull, P. W., Yorke, D., Naudé, P. IMP Conference (11th): Interaction, Relationships and Networks: Past - Present - Future.

Jack, S.L. (2005), The Role, Use and Activation of Strong and Weak Network Ties: A Qualitative Analysis. Journal of Management Studies, 42: 1233-1259. https://doi.org/10.1111/j.1467-6486.2005.00540.x

Kahn, R. & Antonucci, T. (1980). Social Networks in Adult Life. Inter-university Consortium for Political and Social Research. https://doi.org/10.3886/ICPSR09254.v1

Knoke D. & Yang S. (2020). Social network analysis (Third). Sage Publications.

Marsden, P. (1990). Network Data and Measurement, Annual Review of Sociology, Vol. 16: 435-463. [J-STOR]

Mason, Katy & Leek, Sheena. (2008). Learning to Build a Supply Network: An Exploration of Dynamic Business Models. Journal of Management Studies, 45: 774-799. 10.1111/j.1467-6486.2008.00769.x.

Mercklé, P. (2004). Sociologie des réseaux sociaux. Paris : La Découverte.

Oancea, A., Petour, T. & Atkinson, J. (2017). Qualitative network analysis tools for the configurative articulation of cultural value and impact from research, Research Evaluation, Volume 26, Issue 4, Pages 302–315. https://doi.org/10.1093/reseval/rvx014

Putnam, R. (1993). Making Democracy Work. Princeton: Princeton University

Schepis, Daniel. (2011). Social Network Analysis from a Qualitative Perspective. Retrieved from: https://www.researchgate.net/publication/311614546_Social_Network_Analysis_from_a_Qualitative_Perspective

Scott, J. (1988). Social Network Analysis. Sociology, 22(1), 109–127. https://doi.org/10.1177/0038038588022001007

Simmel, G. (1955). Conflict and the Web of Group Affiliations (trans. K.H. Wolff). Glencoe, IL: Free Press.

Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications (Vol. 8). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511815478




DOI: http://dx.doi.org/10.46827/ejsss.v9i5.1643

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