Research Topic Identification and Trend Forecasting of Blockchain in the Construction Industry: Based on LDA-ARIMA Combined Method.
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| Title: | Research Topic Identification and Trend Forecasting of Blockchain in the Construction Industry: Based on LDA-ARIMA Combined Method. |
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| Authors: | Xu, Yongshun1, Zhang, Zhongyuan1,2, Lee, Cen-Ying2,3, Chong, Heap-Yih3,4, 270002@nau.edu.cn, Cheng, Mengyuan1,4 |
| Source: | Buildings (2075-5309); Jan2026, Vol. 16 Issue 2, p254, 24p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191218988 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191218988 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings16020254 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 254 Titles: – TitleFull: Research Topic Identification and Trend Forecasting of Blockchain in the Construction Industry: Based on LDA-ARIMA Combined Method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu, Yongshun – PersonEntity: Name: NameFull: Zhang, Zhongyuan – PersonEntity: Name: NameFull: Lee, Cen-Ying – PersonEntity: Name: NameFull: Chong, Heap-Yih – PersonEntity: Name: NameFull: Cheng, Mengyuan IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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