R0057/2026-04-01/C023/SRC01
Homophily in academic citation networks
Source
| Field |
Value |
| Title |
The Homophily Principle in Social Network Analysis |
| Publisher |
arXiv |
| Author(s) |
Various |
| Date |
2024-2026 |
| URL |
https://arxiv.org/abs/2008.10383 |
| Type |
Academic survey |
Summary
| Dimension |
Rating |
| Reliability |
Low |
| Relevance |
Medium |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Academic survey from established institution/publication |
| Relevance |
Directly addresses the claim under investigation |
| Bias flags |
No significant bias concerns identified |
| Evidence ID |
Summary |
| SRC01-E01 |
General homophily in networks is documented but the specific 83% figure for AI research was not found |