Director of Research (if dissertation) or Advisor (if thesis)
Varshney, Lav R.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
science of science
biology
research
network
network science
eurekometrics
Abstract
The science of science studies how scientists do research effectively. In this thesis, we focus on the science of biology by analyzing a biological research network which is defined as a graph where species are nodes and common papers between species are links. Building upon the idea that many biological papers relate and compare at least two species, we evaluate a series of hypotheses using various analysis techniques and find the importance of model organisms and humans in biological research. Based on these findings, we analyze whether these species are treated differently in biological research. On a global scale, we try to predict sleeping beauty species that may become important in the future despite not being popular at present and try to predict what pairings of species may be influential in biology.
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