Link prediction in co-authorship networks based on hybrid content similarity metric
Version 2 2024-06-06, 10:46Version 2 2024-06-06, 10:46
Version 1 2018-08-01, 00:00Version 1 2018-08-01, 00:00
journal contribution
posted on 2024-06-06, 10:46 authored by PM Chuan, LH Son, M Ali, TD Khang, LT Huong, N DeyLink prediction in co-authorship networks based on hybrid content similarity metric
History
Related Materials
- 1.
Location
New York, N.Y.Language
EnglishPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2017, Springer Science+Business MediaJournal
Applied IntelligenceVolume
48Pagination
2470-2486ISSN
0924-669XeISSN
1573-7497Issue
8Publisher
SPRINGERUsage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceLink predictionCo-authorship networksNetwork topologyLDATopic modelingSOCIAL NETWORKSUSER4605 Data management and data science4606 Distributed computing and systems software4699 Other information and computing sciences
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC

