Zappa, Paola;
(2014)
Assessing Cooperation in Open Systems: An Empirical Test in Healthcare.
In: Vicari, D and Okada, A and Ragozini, G and Weihs, C, (eds.)
Analysis and Modeling of Complex Data in Behavioral and Social Sciences.
(pp. pp. 293-301).
Springer International Publishing Switzerland: Cham, Switzerland.
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Abstract
This paper aims to detect the social mechanisms underlying cooperation in organizational communities. To this purpose, it proposes to apply a longitudinal Social Network Analysis approach based on Stochastic Actor-Oriented Models for network dynamics to Web 2.0 data on interpersonal interaction. The paper claims and demonstrates that such an approach allows alleviating some limitations of current studies. It overcomes the issue of relational missing data. Also, it models directly the network structure as the outcome of actors’ counterparts selection in their neighbourhood. Application is on a virtual community of Italian oncologists who collaborate in resolving diagnoses. Using repository and field data, we reconstruct a network, with clinicians as nodes and emails exchanged as ties. Then, we model cooperation longitudinally. Evidence is provided that emergent behaviors are effectively captured and advantages of this approach are discussed.
| Type: | Proceedings paper |
|---|---|
| Title: | Assessing Cooperation in Open Systems: An Empirical Test in Healthcare |
| Event: | Joint International Meeting of the Japanese-Classification-Society and the Classification-and-Data-Analysis-Group of the Italian-Statistical-Society (JCS-CLADAG) |
| Location: | Anacapri, ITALY |
| Dates: | 3 Sep 2012 - 4 Sep 2012 |
| ISBN-13: | 978-3-319-06691-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-06692-9_31 |
| Publisher version: | https://doi.org/10.1007/978-3-319-06692-9_31 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Social network analysis, stochastic actor-oriented models, virtual communities of practice, healthcare |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10199793 |
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