Social Network Analysis exercise – some initial findings.

Dr. Louise Cooke, Dept. of Information Science, Loughborough University

DREaM 2 event

Knowledge & Expertise

Knowledge & Expertise: Gender

Female

Male

Knowledge & Expertise: Role

P = Public library practitionerA = Academic LibrarianH = Health Sector LibrarianL= Other Sector LibrarianS = PhD StudentR = Academic or University ResearcherO = Other

Network Measures: Knowledge & Expertise

Overall density 0.1787 No. of ties 238 Avg. degree centrality 6.4324 Highest out-degree centrality = 22 Highest in-degree centrality = 30 20 cliques

Prior Acquaintanceship

Prior Acquaintanceship: Gender

Female

Male

Prior Acquaintanceship: Role

P = Public library practitionerA = Academic LibrarianH = Health Sector LibrarianL= Other Sector LibrarianS = PhD StudentR = Academic or University ResearcherO = Other

‘Others’

Those who selected ‘other’ as their primary status, were mostly in either very senior managerial roles, or in consultancy roles. This tends to be reflected in the centrality of their network positions.

Network Measures: Prior Acquaintanceship

Overall density 0.19 No. of ties 256 Avg. degree centrality 6.9189 Highest outdegree centrality = 36 Highest indegree centrality = 25 Cliques (minimum 3 nodes) = 27 Cliques (minimum 4 nodes) = 18

Some initial thoughts on findings Our acquaintanceship network is slightly more

connected than our knowledge & expertise networks – this is not surprising

Both networks have the capacity for improvement of connectivity

In particular, there is scope for increasing the connections between established researchers and PhD students – this aligns well with the DREaM project aims.