{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105089"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105089","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Science of science: Biological research network","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Zhuang, Ruby"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Varshney, Lav R."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T20:36:10Z","date_published":"2019-08-23T20:36:10Z","updated_at":"2026-07-22T22:24:44Z","subjects":["science of science","biology","research","network","network science","eurekometrics"],"languages":["en"],"rights":["Copyright 2019 Ruby Zhuang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105089","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Varshney, Lav R."]},{"key":"dc:creator","label":"Author","values":["Zhuang, Ruby"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T20:36:10Z","2021-08-24T09:15:38Z","2019-04-25","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["science of science","biology","research","network","network science","eurekometrics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Ruby Zhuang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105089"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Ruby Zhuang, accepted the attached license on 2019-04-24 at 20:22.","The student, Ruby Zhuang, submitted this Thesis for approval on 2019-04-24 at 20:23.","This Thesis was approved for publication on 2019-04-25 at 08:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13887 on 2019-08-22 at 15:08:31","Made available in DSpace on 2019-08-23T20:36:10Z (GMT). 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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.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Ruby Zhuang, accepted the attached license on 2019-04-24 at 20:22.","The student, Ruby Zhuang, submitted this Thesis for approval on 2019-04-24 at 20:23.","This Thesis was approved for publication on 2019-04-25 at 08:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13887 on 2019-08-22 at 15:08:31","Made available in DSpace on 2019-08-23T20:36:10Z (GMT). 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