Please use this identifier to cite or link to this item:
https://bura.brunel.ac.uk/handle/2438/33705Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sarmiento-Mirwaldt, Katja | - |
| dc.date.accessioned | 2026-08-14T15:45:29Z | - |
| dc.date.available | 2026-08-14T15:45:29Z | - |
| dc.date.issued | 2026-08-16 | - |
| dc.identifier.citation | Sarmiento-Mirwaldt, K. (2026) 'From network structure to network evolution in cross-border cooperation: a longitudinal analysis of a Polish-German cross-border region', Journal of European Integration, 0(ahead of print), pp. 1–21. doi: 10.1080/07036337.2026.2714454. | en_GB |
| dc.identifier.issn | 0703-6337 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/33705 | - |
| dc.description | Data availability statement: The data and R code that support the findings of this study are openly available in Figshare at https://doi.org/10.17633/rd.brunel.28652204. | en_GB |
| dc.description.abstract | Border regions have long been analysed as microcosms of broader European integration processes, where integration becomes concrete through cross-border interlinkages. The European Commission supports such interlinkages through Interreg. Yet, network analytical studies of cross-border cooperation have not explicitly analysed network evolution. This paper proposes a dynamic framework and asks how cooperative relationships evolve and what shapes their emergence and durability. Using temporal exponential random graph models and a new dataset of small Interreg projects in one Polish-German cross-border region over two Interreg periods, the paper shows that past embeddedness – through community membership and actor centrality – increases the likelihood that new ties emerge. By contrast, persistence is less consistently associated with these mechanisms and appears more sensitive to programme rhythms and organisational capacity. These findings show that integration across borders unfolds through relational dynamics over time, and they demonstrate the value of longitudinal network analysis for European integration research. | en_GB |
| dc.description.sponsorship | The author(s) reported there is no funding associated with the work featured in this article. | en_GB |
| dc.format.extent | pp. 1–21 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en | en_GB |
| dc.publisher | Routledge (Taylor and Francis Group) | en_GB |
| dc.rights | Re-use licence for this version: CC BY | - |
| dc.rights | Licence for published version: CC BY | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | Cross-border cooperation | en_GB |
| dc.subject | European integration | en_GB |
| dc.subject | Longitudinal network analysis | en_GB |
| dc.subject | Interreg | en_GB |
| dc.subject | Small projects fund | en_GB |
| dc.subject.other | 1402 Applied Economics | - |
| dc.subject.other | 1606 Political Science | - |
| dc.title | From network structure to network evolution in cross-border cooperation: a longitudinal analysis of a Polish-German cross-border region | en_GB |
| dc.type | Article | en_GB |
| dc.date.dateAccepted | 2026-07-28 | - |
| dc.identifier.doi | https://doi.org/10.1080/07036337.2026.2714454 | - |
| dc.relation.isPartOf | Journal of European Integration | en_GB |
| pubs.issue | 0 | - |
| pubs.publication-status | Published online | - |
| pubs.volume | 00 | - |
| dc.identifier.eissn | 1477-2280 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2026-07-28 | - |
| dcterms.issued | 2026-08-16 | - |
| dc.date.updated | 2026-08-04T19:28:46Z | - |
| dc.rights.holder | The Author(s) | - |
| dc.contributor.orcid | Sarmiento-Mirwaldt, Katja [0000-0002-7886-9414] | - |
| Appears in Collections: | Department of Social and Political Sciences Research Papers * | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent | 3.32 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License