Link prediction for interdisciplinary collaboration via co-authorship network
Bibliographic Data
| ID | 4715410 |
|---|---|
| Authors | Haeran Cho (0000-0002-0725-8704, University of Bristol), Yi Yu (0000-0003-4670-3927, University of Bristol, corresponding author) |
| Year | 2018 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2018-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-018-0501-6 |
| OpenAlex | W2793544332 |
| Language | EN |
| Citations received | 8 |
| References cited | 24 |
We analyse the Publication and Research data set of University of Bristol collected between 2008 and 2013. Using the existing co-authorship network and academic information thereof, we propose a new link prediction methodology, with the specific aim of identifying potential interdisciplinary collaboration in a university-wide collaboration network
Data mining · Data science · Data set · Information retrieval · Advanced Graph Neural Networks · Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · Artificial Intelligence
Crossref
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Interdisciplinarity
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Friends and neighbors on the Web
| Unique citing works | 8 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2020 - 2024 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |