1 / 21

Network Analysis of the local Public Health Sector: Translating evidence into practice

Network Analysis of the local Public Health Sector: Translating evidence into practice. Helen McAneney. School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast. Early beginnings for Social Network Analysis. Stanley Milgram and six degrees of separation

teagan-gaines
Download Presentation

Network Analysis of the local Public Health Sector: Translating evidence into practice

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. Network Analysis of the local Public Health Sector: Translating evidence into practice Helen McAneney School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast

  2. Early beginnings for Social Network Analysis • Stanley Milgram and six degrees of separation • the Erdös number and the Kevin Bacon game • Granovetter (1973): • “The strength of weak ties” • Watts and Strogatz (1998): • “Collective dynamics of small-world networks” Euler’s Konigsberg's Bridges Problem (1736)

  3. Applications • Knowledge transfer • Disease transfer • STDs • Avian flu (hub airports) • Drugs/smoking/obesity • Web, Google • Citations of articles • Neighbourhood effects

  4. The shape of the US purely from the flight paths.

  5. SNA Theory • Nodes (actors) and edges (ties) • Adjacency matrix A • SNA measures • Centrality, centralisation, block-modelling • Freeman Degree Centrality • No. of edges attached to it • Normalised Degree

  6. SNA Theory • Bonacich Eigenvector Centrality • Edges weighted by influence of node connected to • l is largest e-value, x is e-vector of A • Betweenness Centrality • Fraction of geodesic paths that a given node lies on • Control a node has over flow of information

  7. A few examples: Star network • Star network • Adjacency matrix of

  8. A few examples: Star network • Centrality measures • Freeman Degree • Bonacich Eigenvector • Betweenness • Centralisation 100%, node1 dominates

  9. A few examples: Circle network • Circle network • Adjacency matrix of

  10. A few examples: Circle network • Centrality measures • Freeman Degree • Bonacich Eigenvector • Betweenness • Centralisation 0%, all nodes equal

  11. A few examples: Line network • Line network (‘broken circle’) • Adjacency matrix of

  12. A few examples: Line network • Centrality measures • Centralisation • 6.67% (degree) • 39% (e-vector) • 31% (betweenness)

  13. CoE Network in Public Health • Launch of UKCRC CoE in Public Health (NI) June 2008 • Questionnaire to provide baseline data • Create a map of PH community in NI • 98 participants from 44 organisations & research clusters • 193 nodes (organisations) nominated

  14. How personal goals related to those of CoE

  15. CoE Network in Public Health 193 organisations and research clusters

  16. Centrality measures • Centralisation • 16% (out-degree) & 5% (in-degree) • 51% (eigenvector) • 4% (betweenness)

  17. Block-model of Network

  18. Block-model of Network Root mean square of impact and strength Values of 1 (high) – 3 (low) Strongest if 2 (1+1), weakest if 6 (3+3)

  19. Questions for the future • Identified difference in attitudes/goals of academics & non-academics. • Sectors with little or no interaction • Influential organisation • good or bad? • ‘Value’ of trans-disciplinary interaction • CoE’s translational message, • improving cross collaboration • improving effectiveness for clinical or PH outcomes

  20. Acknowledgement • Dr Jim McCann • School of Mathematics and Physics • Prof. Lindsay Prior • School of Sociology, Social Policy and Social Work, • Jane Wilde CBE • The Institute of Public Health in Ireland • Prof. Frank Kee • Director UKCRC Centre of Excellence for Public Health • www.qub.ac.uk/coe

More Related