Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162783
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dc.contributor.authorSoh, Isaac Wei Yangen_US
dc.date.accessioned2022-11-09T02:03:28Z-
dc.date.available2022-11-09T02:03:28Z-
dc.date.issued2022-
dc.identifier.citationSoh, I. W. Y. (2022). Quantifying reputation and success of data scientists. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162783en_US
dc.identifier.urihttps://hdl.handle.net/10356/162783-
dc.description.abstractIn today’s hyper-competitive world, people are obsessed with success. For decades, researchers and scientist have studied the issue of success and quantifying them. However, not all success can be easily quantified, such as the success of researchers or artists. Unlike sports, where there are many objective criteria used to measure the success of teams, such as the best football club is the one that wins the Champions League, these criteria are missing for some subjects. This project exploits network science techniques to understand and predict success of data scientist. We utilize Database Systems and Logic Programming (DBLP) datasets to track the career of data scientists in data management conferences over time and perform network analytics to understand and quantify their career success. Data scientists from 13 data management conferences are used to create a co-authorship network to find relationships and correlations.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE21-0690en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleQuantifying reputation and success of data scientistsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSourav S Bhowmicken_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailASSourav@ntu.edu.sgen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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