@article { , title = {Social network analysis to study social capital and development}, abstract = {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.}, issn = {1833-1882}, note = {Note: paper also presented at the International Conference on Interdisciplinary Social Sciences held at Monash University Centre, Prato, Italy in 2008. School: emp\_res}, pages = {75-88}, publicationstatus = {Published}, publisher = {Common Ground Research Networks}, url = {http://researchrepository.napier.ac.uk/id/eprint/4380}, volume = {3}, keyword = {302 Social interaction, HN Social history and conditions. Social problems. Social reform, Employment Research Institute, Social network analysis, social capital, development , methodology;}, year = {2024}, author = {Raeside, Robert and Gayen, Kaberi} }