Disclosing the competitive-cooperative mechanism driving topic evolution from the perspective of topic function analysis
Bibliographic Data
| ID | 21442995 |
|---|---|
| Authors | Junying Chen (0000-0001-5150-5736, Wuhan University), Wei Lu (0000-0003-4043-6047, Wuhan University), Zhenzhen Xu (0000-0002-8073-3962, Wuhan University), Feiyang Chen (Wuhan University), Shengzhi Huang (0000-0001-7592-5268, Wuhan University, corresponding author) |
| Year | 2026 |
| Volume | 131 |
| Issue | 2 |
| Pages | 1185-1207 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-026-05550-z |
| OpenAlex | W7127048509 |
| Language | EN |
| References cited | 32 |
Complementarity (molecular biology) · Field (mathematics) · Function (biology) · Mechanism (biology) · Perspective (graphical) · Topic model · Word2vec · Complex Network Analysis Techniques · Computational and Text Analysis Methods · scientometrics and bibliometrics research
Notes on Continuous Stochastic Phenomena
An Overview of Microsoft Academic Service (MAS) and Applications
Evolution analysis of online topics based on ‘word-topic’ coupling network
Generating a related work section for scientific papers
An integrated approach for detecting and quantifying the topic evolutions of patent technology
Mapping and comparing the technology evolution paths of scientific papers and patents
A decadal study on identifying latent topics and research trends in open access LIS journals using topic modeling approach
Local Indicators of Spatial Association—Lisa
| Highly cited | No |
|---|