Examining academic ranking and inequality in library and information science through faculty hiring networks.
Yongjun ZhuErjia YanPublished in: J. Informetrics (2017)
Keyphrases
- library and information science
- graduate students
- citation networks
- faculty members
- information retrieval
- computer science
- human resources
- ranking algorithm
- social networks
- web search
- complex networks
- ranking functions
- network analysis
- heterogeneous information networks
- computer networks
- learning to rank
- ranked list
- computer technology
- researchers and practitioners
- link analysis
- network structure
- learning systems
- state university
- artificial neural networks
- case study