Social Network Analysis - methods@manchester: research methods in the social sciences. The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) together with a set of edges (also called arcs) that link pairs of actors. Since edges can share actors (e.g., the A.B edge shares an actor with the B.C edge) this creates a connected web that we think of as a network.
It is important to realize that actors can be individuals (such as persons in an organization, or monkeys in a troop) or collectivities (such as teams, firms, countries or species). The edges are the realization of a particular relation. In addition, we normally assume that actors have attributes, by which we mean characteristics or features, such as age or size or personality. Manchester Experts and Projects Manchester Social Networks Group has a list of Manchester experts on Social Network Analysis together with a description of relevant research projects. Key Additional Information John P Scott. 2000. Staff interested in sna. Social Network Analysis. Social Network Analysis: Introduction and Resources What is Social Network Analysis?
Network Data Collection and Representation Network Theories Analysis of Network Data Software Applications Books and Journals Article References Selected Online SNA Portals Ulrike Gretzel November, 2001 What is Social Network Analysis? Social network analysis is based on an assumption of the importance of relationships among interacting units. Actors and their actions are viewed as interdependent rather than independent, autonomous units Relational ties (linkages) between actors are channels for transfer or "flow" of resources (either material or nonmaterial) Network models focusing on individuals view the network structural environment as providing opportunities for or constraints on individual action Network models conceptualize structure (social, economic, political, and so forth) as lasting patterns of relations among actors Wasserman, S. and K.
Scott, J., 1992, Social Network Analysis. Index Network Theories. Conference Materials for Understanding and Improving Intelligence Analysis: Learning from Other Disciplines.