Navigating the AI technology landscape from GitHub data
Bibliographic Data
| ID | 7169571 |
|---|---|
| Authors | Jaemyoung Choi (0000-0002-9911-8580, Seoul National University of Science and Technology), Sungsoo Lee (0000-0001-8998-9510, Seoul National University of Science and Technology), Hakyeon Lee (0000-0002-3994-8558, Seoul National University of Science and Technology, corresponding author) |
| Year | 2026 |
| Volume | 84 |
| Pages | 103090 |
| Publication date | 2026-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2025.103090 |
| OpenAlex | W4414542701 |
| Language | EN |
| References cited | 46 |
Cluster analysis · Coding (social sciences) · Graph · GRASP · Reuse · Source code · Big Data and Business Intelligence · Ethics and Social Impacts of AI · Scientific Computing and Data Management · Software
How to normalize cooccurrence data? An analysis of some well‐known similarity measures
Link prediction in complex networks
Node2vec
Gephi
Silhouettes
Two-stage technology opportunity discovery for firm-level decision making
Artificial intelligence and innovation management
Identifying the technology convergence using patent text information
Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations
Landscaping the digital twin technology
Topical review of artificial intelligence national policies
Knowledge mapping of an artificial intelligence application scenario
| Citation velocity | historical |
|---|---|
| Highly cited | No |