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The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["faculty_hiring/computer_science"]
Three networks of faculty hiring in Computer Science Departments, Business Schools, and History Departments. Each node is a PhD-granting institution in the respective field, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2013). All data collected from faculty public rosters at the sampled institutions1
|computer_science||206||4,988||24.21||62.95||41.69||2.28||-0.07||0.38||3||1.00||Directed||Unipartite||name pi USN2010 NRC95 Region institution||rank gender||14 KiB||30 KiB||27 KiB||19 KiB|
|business||113||9,042||80.02||148.21||60.48||1.42||-0.09||0.68||2||1.00||Directed||Unipartite||name pi USN2012 NRC-- Region institution||rank gender||13 KiB||38 KiB||35 KiB||22 KiB|
|history||145||4,538||31.30||75.92||44.78||1.51||-0.12||0.52||3||1.00||Directed||Unipartite||name pi USN2009 NRC2010 Region institution||rank gender||11 KiB||26 KiB||23 KiB||16 KiB|