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Title:Science of science: Biological research network
Author(s):Zhuang, Ruby
Advisor(s):Varshney, Lav R.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2019-04-25
Type:Text
URI:http://hdl.handle.net/2142/105089
Rights Information:Copyright 2019 Ruby Zhuang
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05


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