Analysis and prediction on topic diffusion in social media: An interior dimensions approach

Yunwei Zhao

Research output: ThesisDoctoral ThesisScientific

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Abstract

The strand of research this thesis follows goes back at least to Bush’s As We May Think essay. In this essay, Bush envisioned that electronic repositories of information would not only record each scholar’s additions, but would also subsequently provide for their disciples the entire scaffolding by which the repositories were erected. Our research in this thesis is rooted in social data mining that seeks to uncover usage patterns in the computationally recorded behavior.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Tilburg University
Supervisors/Advisors
  • van den Heuvel, Willem-Jan, Promotor
  • Chi, Chi-Hung, Co-promotor, External person
Award date29 Mar 2017
Place of PublicationTilburg
Publisher
Print ISBNs978 90 5668 507 2
Publication statusPublished - 2017

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Cite this

Zhao, Y. (2017). Analysis and prediction on topic diffusion in social media: An interior dimensions approach. Tilburg: CentER, Center for Economic Research.
Zhao, Yunwei. / Analysis and prediction on topic diffusion in social media : An interior dimensions approach. Tilburg : CentER, Center for Economic Research, 2017. 125 p.
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Zhao, Y 2017, 'Analysis and prediction on topic diffusion in social media: An interior dimensions approach', Doctor of Philosophy, Tilburg University, Tilburg.

Analysis and prediction on topic diffusion in social media : An interior dimensions approach. / Zhao, Yunwei.

Tilburg : CentER, Center for Economic Research, 2017. 125 p.

Research output: ThesisDoctoral ThesisScientific

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T2 - An interior dimensions approach

AU - Zhao, Yunwei

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Y1 - 2017

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AB - The strand of research this thesis follows goes back at least to Bush’s As We May Think essay. In this essay, Bush envisioned that electronic repositories of information would not only record each scholar’s additions, but would also subsequently provide for their disciples the entire scaffolding by which the repositories were erected. Our research in this thesis is rooted in social data mining that seeks to uncover usage patterns in the computationally recorded behavior.

M3 - Doctoral Thesis

SN - 978 90 5668 507 2

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

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Zhao Y. Analysis and prediction on topic diffusion in social media: An interior dimensions approach. Tilburg: CentER, Center for Economic Research, 2017. 125 p. (CentER Dissertation Series).