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2014 | OriginalPaper | Chapter

Assessing Cooperation in Open Systems: An Empirical Test in Healthcare

Author : Paola Zappa

Published in: Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Publisher: Springer International Publishing

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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.

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previous chapter A Box-Plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis
Footnotes
1
The rarety of the cancer forms examined implies also a low frequency of information exchange. Network emergence is therefore assumed to be a slow process.
 
2
Extensions to ordinal data have been proposed, but are still to be documented in the literature.
 
3
Four degree ordinal scaling, with 1  = not competent at all in the field, …, 4  = very competent. The scale was dichotomised so that 1 and 2 were recoded as not competent and 3 and 4 as competent.
 
4
We scanned the hospital websites and the 2009 Italian White Book on Cancer Treatments. For each hospital, it reports a list of clinicians expert in any form of cancer.
 
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Metadata
Title
Assessing Cooperation in Open Systems: An Empirical Test in Healthcare
Author
Paola Zappa
Copyright Year
2014
Book
Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Print ISBN: 978-3-319-06691-2

Electronic ISBN: 978-3-319-06692-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-06692-9_31

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