Using Social Network Analysis to Study Social Capital and Development

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It is widely recognised that individuals with high social capital are important in either promoting or acting as inhibitors to the diffusion of knowledge and information. It is through ties to these individuals that others receive knowledge and hence their actions are influenced. Social network analysis (SNA) gives a methodology to achieve an understanding of how individuals are linked to those with social capital and to identify those with high social capital. In this approach both qualitative and quantitative data can be synthesised to obtain deep understanding of the research area. However, applications of SNA are often compromised by methodological problems in relation to causality, control of exogenous effects, contamination of the sample, understanding of meaning by respondents and sampling. In this paper with the aid of examples from Scotland, Bangladesh and Ghana the significance of these problems are illustrated and guidance given to their resolution.

Keywords: Social Network Analysis, Social Capital, Development, Methodology
Stream: Sociology, Geography
Presentation Type: Paper Presentation in English
Paper: Social Network Analysis to Study Social Capital and Development

Prof. Robert Raeside

Reader in Applied Statistics, School of Accounting, Economics and Statistics, Napier University
Edinburgh, Lothian, UK

R Raeside lectures and researches aspects of the application of staistics particularly in the areas of demography and social network analysis.

Dr. Kaberi Gayen

Associate Professor, Department of Communitation, University of Dhaka
Dhaka, Bangladesh

Dr Gayen is an associate profesor in communication studies. She researches and publishes in communication theory and practice and has a particular interest in the development and application of social netwoork analysis.

Ref: I08P0330