Compare methods
Review your selected methods side by side; rows that differ are highlighted.
| Triple Helix Analysis× | Science Mapping× | |
|---|---|---|
| Field≠ | Science Technology Studies | Bibliometrics |
| Family | Process / pipeline | Process / pipeline |
| Year of origin≠ | 2000 | 2000s |
| Originator≠ | Henry Etzkowitz & Loet Leydesdorff | Katy Börner, Chaomei Chen, and others |
| Type≠ | Innovation-systems framework and bibliometric indicator | Method |
| Seminal source≠ | Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and 'Mode 2' to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109-123. DOI ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Aliases | Triple Helix indicator, University-industry-government analysis, Triple Helix synergy analysis | knowledge mapping, domain mapping, research landscape visualization |
| Related≠ | 4 | 5 |
| Summary≠ | Triple Helix analysis is a framework and bibliometric method for studying knowledge-based innovation as the evolving interplay of three institutional spheres—university, industry, and government. Rather than treating these as separate actors that occasionally cooperate, it models innovation as the overlapping, mutually shaping relations among them, and offers an information-theoretic indicator that quantifies how much the three spheres jointly reduce uncertainty in a knowledge economy. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGateDataset ↗ |
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