lis dream 2: social network analysis workshop exercise results
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TRANSCRIPT
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.