This study discovers sex differences in multiplex links on formal and informal networks of Swedish local elite. Elites are widely known to have an immense influence on a country’s politics and governance, and proportional representation of women in elite positions is an indicator of democratization and gender equality. Sweden has long been known for democratic and gender equal regulations, and women occupy more elite positions relative to other countries, yet they are still heavily underrepresented in the elite. Previous research on Swedish local elite revealed that women in the elite do not differ from their male peers in terms of local network properties on formal and informal networks; however, the circumstances on the multiplex links are unknown. In this study, multiplexity approach is adopted as it is known for allowing to capture social processes in social network analysis, which could otherwise be overlooked. The formal and informal networks of the community elite from four mid-sized municipalities in Västra Götaland region in Sweden are transformed into multiplex networks, and they were analyzed for local network configurations by using exponential random graph model (ERGM) estimation method. The findings showed that women in the community elite tend to have more multiplex relationships than men; however, they significantly lack valuable brokerage positions on the multiplex level compared to men. Male closure on the multiplex level was found to be higher than females at a partially significant rate, and gender-based homophily on multiplex networks was not found to be statistically significant. One implication of the study is women’s position and integration in the community elite do not appear identical to men’s, and women’s access to social capital in the elite networks is more constrained than it was presumed previously. Another implication is that special attention should be paid to multiplexity in social network analysis research, as it is a valuable tool for improving the apprehension of social mechanisms.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-89696 |
Date | January 2019 |
Creators | Erdogan, Idil Ekim |
Publisher | Linnéuniversitetet, Institutionen för samhällsstudier (SS) |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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