LIS DREaM 2: Social Network Analysis Workshop Exercise Results

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

Knowledge & Expertise

Knowledge & Expertise: GenderFemaleMale

Knowledge & Expertise: RoleP = 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: GenderFemaleMale

Prior Acquaintanceship: RoleP = Public library practitionerA = Academic LibrarianH = Health Sector LibrarianL= Other Sector LibrarianS = PhD StudentR = Academic or University ResearcherO = Other

‘Others’Those who selected ‘other’ as theirprimary status, were mostly in eithervery senior managerial roles, or inconsultancy roles. This tends to bereflected in the centrality of theirnetwork positions.

Network Measures: PriorAcquaintanceship 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 onfindings 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.

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LIS DREaM 2: Social Network Analysis Workshop Exercise Results

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