Discovering mentorship information from author collaboration networks

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Suresh, V., Raghupathy, N., Shekar, B., & Madhavan, C. E. V. (2007). Discovering mentorship information from author collaboration networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4755 LNAI, pp. 197–208). Springer Verlag. https://doi.org/10.1007/978-3-540-75488-6_19

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