Social Network Analysis Model

Ulin et al. (2005:99) argue for the analytical power of social network analysis (SNA ) in exploring collective behaviour, attitudes, shared norms and patterns of relations in the context of group affiliation. SNA has developed as an approach for studying ‘social relations’ rather than ‘individual attributes’ as its focus of inquiry consists of a set of nodes (such as organisations and individuals) and the relations/ties between them. SNA involves handling, as well as storing and selection of relational data (cf. Scott 2000:38-53). Accordingly, data obtained from the field and documentary sources were first organised, sorted and coded based on the research questions. The codes were beliefs, social ties, practices, needs, perceptions and preferences

It helps to define location of people’ perceptions of the prevention of TB within social network systems at various levels of integration, both within the health - care systems and in the widest conceivable communities’ level (cf. Wolf 2011:3). In particular, the analyses were commenced people’ perceptions pertaining to the prevention of TB in the clinics, hospitals, health departments, and then in the communities to prove whether the prevention of TB is successful without being instituted with social capital. By believing that social capital can be understood using perceived views of the people about the disease, where the social structure that patterns the behaviour of individual and group with an egocentric and a whole social network perspective, where nodes are the points in which actors are located and ties are the lines that connects actor together (cf. Howell & Stambaugh 2011:746-748) were employed regarding the prevention of TB. In social network perspective, behaviour of actors interpreted in the light of pattern of links (both process and structure aspects). In this regard, the thing to be explained is people’ perceptions about the prevention of TB whereas the thing that provides the explanation is social networks (cf. Mitchell 1974:285; cf. Wolf 2011:285), which comprises the patterns of social structure. Accordingly, the relational data that comprises people’ perceptions that lies within the networks of social structure such as social ties, social position including their social networks density (cf. Bernard 2006:315; cf. Hollstein 2011:8) were taken into account in explaining people’ behaviour regarding TB prevention practices. Finally, some fundamental tensions revolving around the successes, failures and efforts involved in TB prevention and mobilising social capital were