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Part 1: Document Description
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Citation |
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Title: |
Laplacian spectra of persistent structures in Taiwan, Singapore, and US stock markets |
Identification Number: |
doi:10.21979/N9/UCEELS |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2023-05-23 |
Version: |
1 |
Bibliographic Citation: |
Cheong, Siew Ann, 2023, "Laplacian spectra of persistent structures in Taiwan, Singapore, and US stock markets", https://doi.org/10.21979/N9/UCEELS, DR-NTU (Data), V1 |
Citation |
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Title: |
Laplacian spectra of persistent structures in Taiwan, Singapore, and US stock markets |
Identification Number: |
doi:10.21979/N9/UCEELS |
Authoring Entity: |
Cheong, Siew Ann (Nanyang Technological University) |
Software used in Production: |
Python |
Software used in Production: |
MATLAB |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Cheong, Siew Ann |
Depositor: |
Cheong, Siew Ann |
Date of Deposit: |
2023-05-23 |
Holdings Information: |
https://doi.org/10.21979/N9/UCEELS |
Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences, Physics, Computer and Information Science, Mathematical Sciences, Physics, Stock market, Graph Laplacian, Complex systems, Persistent structures, Fiedler vector |
Abstract: |
Python and MATLAB scripts used to generate figures in the Entropy paper with the above title. |
Kind of Data: |
Python scripts |
Kind of Data: |
Python npy files |
Kind of Data: |
MATLAB scripts |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.3390/e25060846 |
Bibliographic Citation: |
Yen, P. T. W., Xia, K., & Cheong, S. A. (2023). Laplacian spectra of persistent structures in Taiwan, Singapore, and US stock markets. Entropy, 25(6), 846. |
Citation |
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Identification Number: |
10356/171077 |
Bibliographic Citation: |
Yen, P. T. W., Xia, K., & Cheong, S. A. (2023). Laplacian spectra of persistent structures in Taiwan, Singapore, and US stock markets. Entropy, 25(6), 846. |
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