Science of science: Biological research network

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2019

Author dc:creator

• Zhuang, Ruby

Contributors dc:contributor

• Varshney, Lav R.

• science of science
• biology
• research
• network
• network science
• eurekometrics

Statement dc:rights

• Copyright 2019 Ruby Zhuang

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/105089

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/105089