1. DREaM 2 event
Social Network Analysis exercise –
some initial findings.
Dr. Louise Cooke, Dept. of Information Science,
Loughborough University

2. Knowledge & Expertise

3. Knowledge & Expertise:
Gender
Female
Male

4. Knowledge & Expertise:
Role
P = Public library practitioner
A = Academic Librarian
H = Health Sector Librarian
L= Other Sector Librarian
S = PhD Student
R = Academic or University Researcher
O = Other

5. 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

6. Prior Acquaintanceship

7. Prior Acquaintanceship:
Gender
Female
Male

8. Prior Acquaintanceship:
Role
P = Public library practitioner
A = Academic Librarian
H = Health Sector Librarian
L= Other Sector Librarian
S = PhD Student
R = Academic or University Researcher
O = Other

9. ‘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.

10. 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

11. 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.