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Exploring Peer Prestige in Academic Hiring Networks

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Andrea Wiggins
Andrea Wiggins

This document summarizes a study exploring how network measures of centrality relate to peer prestige ratings in academic hiring networks. The study analyzed hiring networks of 18 iSchools and 29 computer science departments. Regression analyses found that weighted PageRank, betweenness, and number of graduates hired correlated with US News rankings for both networks, though the correlations were stronger for computer science. Self-hiring was common for both, and iSchool faculty covered diverse areas of study. Network measures provide some insight into complex concept of academic prestige.

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Exploring Peer Prestige in Academic Hiring Networks Andrea Wiggins April 24, 2007 Submitted in partial fulfillment of the requirements for the Master of Science in Information degree at the University of Michigan School of Information
Problem Statement ,[object Object],[object Object],[object Object],[object Object]
Practical Problems of Identity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is an iSchool? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Literature - Interdisciplinary Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Emergence of Academic Disciplines ,[object Object],[object Object],[object Object],[object Object],[object Object]
Adaptation & Survival in Academia ,[object Object],[object Object],[object Object],[object Object]
Prestige in Academic Hiring Networks ,[object Object],[object Object],[object Object],[object Object]
Prestige in Academic Hiring Networks ,[object Object],[object Object],[object Object],[object Object]
Prestige in Academic Hiring Networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Productivity and Prestige ,[object Object],[object Object],[object Object],[object Object]
Productivity and Prestige ,[object Object],[object Object],[object Object],[object Object],[object Object]
Social Networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Graph-Based Ranking Algorithms ,[object Object],[object Object],[object Object]
Community Structure in Networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research Question ,[object Object]
Null Hypothesis 1 ,[object Object]
Null Hypothesis 2 ,[object Object],[object Object]
Methods ,[object Object],[object Object],[object Object],[object Object],[object Object]
Population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sampling Frame & Sample ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Network Data Sources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ranking Data Sources ,[object Object],[object Object],[object Object],[object Object]
iSchool Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Full iSchool Hiring Network
Full CS Hiring Network
iSchool Hiring Network Egos
CS Hiring Network Egos
Analysis - Comparison ,[object Object],[object Object],[object Object],[object Object]
Betweenness Distributions
iSchools - Self-Hiring
CS - Self-Hiring
Analysis - Self-Hiring ,[object Object],[object Object],[object Object],[object Object],[object Object]
iSchool Areas of Study
Analysis - Areas of Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hypotheses Revisited ,[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis - iSchool Regression ,[object Object],[object Object],[object Object],[object Object]
Analysis - CS Regression ,[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object]
Thanks for listening! ,[object Object],[object Object]
 
 
 
 
 
 
 
 

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