1 / 14

Social Network Analysis (in 10 minutes)

Social Network Analysis (in 10 minutes). Nick Crossley. A set of methods for analysing patterns of relationships. Visualising them in graphs. Defining and measuring their properties. Representing and manipulating them in matrices. Often involves:. Multidimensional scaling.

kaelem
Télécharger la présentation

Social Network Analysis (in 10 minutes)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Social Network Analysis (in 10 minutes) Nick Crossley

  2. A set of methods for analysing patterns of relationships. • Visualising them in graphs. • Defining and measuring their properties. • Representing and manipulating them in matrices.

  3. Often involves: • Multidimensional scaling. • Correspondence analysis. • Matrix algebra. • Cluster analysis. • Conventional stats (regression etc.) • Multilevel modelling • And certainly should involve qualitative methods too

  4. But best known for: • Sociograms (a.k.a. ‘graphs’, ‘network maps’, ‘social network diagrams’). • Graph theory applications/measures.

  5. A graph: relationships between actors involved in the early UK punk movement

  6. Social relations in a private health club:

  7. More social relations in a private health club:

  8. Some Network Properties

  9. DENSITY • The actual number of connections in a network expressed as a proportion of the potential number. • Given as a figure between 0 and 1.

  10. Diameter • The shortest path between the two most distant vertices (vertex = ‘node’) in a network. • Path and distance both measured by ‘degree’ (i.e. links in the chain). • = path/distance of 3

  11. Centrality (of vertices/nodes) • Number of connections (degree centrality). • Cumulative shortest distance to every other vertex in the graph (closeness centrality). • Extent to which lies in the path connecting all other vertices (betweenness centrality).

  12. The focus is on form • Definition of vertices is up to researcher. • Likewise definition of relations. • But of course they must be meaningful and relevant in the context of the project.

  13. Blockmodelling • A method for reducing large data sets. • Theoretically tied to role analysis and a specific conception of social structure (but perhaps problematically so). • Vertices assigned to ‘blocks’ on the basis of ‘structural equivalence’ (or regular equivalence). • Relations between blocks (via their vertices) analysed.

  14. Why bother? • Operationalises (some versions of) the concept of ‘social structure’. • Network positions enable/constrain actors. • Network figurations enable/constrain actors and have effects. • Exploring diffusion. • Exploring structural vulnerability.

More Related