Discovering mentorship information from author collaboration networks

Authors:
V. Suresh;Narayanan Raghupathy;B. Shekar;C. E. Veni Madhavan
Affiliations:
Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India;Dept. of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA;Indian Institute of Management Bangalore, Bangalore, India;Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India
Venue:
DS'07 Proceedings of the 10th international conference on Discovery science
Year:
2007

Citing 3
Cited 1

Analysis of SIGMOD's co-authorship graph

ACM SIGMOD Record
Searching Association Networks for Nurturers

Computer
Co-authorship networks in the digital library research community

Information Processing and Management: an International Journal - Special issue: Infometrics

Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis

Scientometrics

Quantified Score

Hi-index	0.01

Visualization

Abstract

Researchers are assessed from a researcher-centric perspective - by quantifying a researcher's contribution to the field. Citation and publication counts are some typical examples. We propose a student-centric measure to assess researchers on their mentoring abilities. Our approach quantifies benefits bestowed by researchers upon their students by characterizing the publication dynamics of research advisor-student interactions in author collaboration networks. We show that our measures could help aspiring students identify research advisors with proven mentoring skills. Our measures also help in stratification of researchers with similar ranks based on typical indices like publication and citation counts while being independent of their direct influences.