Data · dataset · 2026
Rural science teachers' collaboration, advice-seeking, and friendship networks: Social network analysis data
Listed in Teesside University Research Data Repository
This dataset contains longitudinal social network data from rural science teachers collected in 2023 and 2024.
Description
The dataset includes three types of professional networks: collaboration, advice seeking, and friendship. These networks were constructed from teacher survey nominations and are represented as directed adjacency matrices with consistent node ordering across both time points.
The data are structured to support cross sectional Exponential Random Graph Model (ERGM) analyses and longitudinal Separable Temporal ERGM (STERGM) analyses of tie formation and persistence. In addition to the network matrices, the dataset includes a dyadic geographic distance matrix representing estimated driving distances between teachers’ primary school locations. These distances were calculated using Google Maps and were used as edge level covariates in network models examining the role of geographic proximity in professional relationship formation.
Read the rest (3 more)
A matched teacher attribute dataset is also included. This file contains anonymized demographic, professional background, subject specialization, grade level assignment, regional affiliation, and participation indicators for the Technology Mediated Lesson Study (TMLS) professional development program. These attributes were used as node level predictors in ERGM and STERGM analyses examining how teacher characteristics and contextual factors relate to professional network development over time.
All identifiers were anonymized prior to public release. Numeric codes do not correspond to actual individuals, schools, or districts. Diagonal entries in the network matrices reflect occasional self-nominations recorded in the original survey data and were retained for transparency.
For most network modeling applications, these self-ties should be constrained to zero. The dataset is intended to support replication of published analyses on rural teacher professional networks and to facilitate secondary research on professional learning, teacher collaboration, and geographically distributed professional development.
Links
Where it is published
- DOI doi.org/10.17632/29kfrxdx5r.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/29kfrxdx5r.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |