Change we can believe in: Comparing Longitudinal Network Models on Consistency, Interpretability and Predictive Power
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 21 - Sociology
- Output identifier
- 85186394
- Type
- D - Journal article
- DOI
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10.1016/j.socnet.2017.08.001
- Title of journal
- Social Networks
- Article number
- -
- First page
- 180
- Volume
- 52
- Issue
- -
- ISSN
- 0378-8733
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
A - SoSS
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
