Patterns of collaboration in complex networks: the example of a translational research network.

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Show simple item record Long, Janet C en Cunningham, Frances C en Carswell, Peter en Braithwaite, Jeffrey en 2018-10-23T03:15:16Z en 2014-01 en
dc.identifier.issn 1472-6963 en
dc.identifier.uri en
dc.description.abstract BACKGROUND: This paper examines collaboration in a complex translational cancer research network (TRN) made up of a range of hospital-based clinicians and university-based researchers. We examine the phenomenon of close-knit and often introspective clusters of people (silos) and test the extent that factors associated with this clustering (geography, profession and past experience) influence patterns of current and future collaboration on TRN projects. Understanding more of these patterns, especially the gaps or barriers between members, will help network leaders to manage subgroups and promote connectivity crucial to efficient network function. METHODS: An on-line, whole network survey was used to collect attribute and relationship data from all members of the new TRN based in New South Wales, Australia in early 2012. The 68 members were drawn from six separate hospital and university campuses. Social network analysis with UCInet tested the effects of geographic proximity, profession, past research experience, strength of ties and previous collaborations on past, present and future intended partnering. RESULTS: Geographic proximity and past working relationships both had significant effects on the choice of current collaboration partners. Future intended collaborations included a significant number of weak ties and ties based on other members' reputations implying that the TRN has provided new opportunities for partnership. Professional grouping, a significant barrier discussed in the translational research literature, influenced past collaborations but not current or future collaborations, possibly through the mediation of network brokers. CONCLUSIONS: Since geographic proximity is important in the choice of collaborators a dispersed network such as this could consider enhancing cross site interactions by improving virtual communication technology and use, increasing social interactions apart from project related work, and maximising opportunities to meet members from other sites. Key network players have an important brokerage role facilitating linkages between groups. en
dc.format.medium Electronic en
dc.language eng en
dc.relation.ispartofseries BMC health services research en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.rights.uri en
dc.subject Humans en
dc.subject Neoplasms en
dc.subject Questionnaires en
dc.subject Cooperative Behavior en
dc.subject Leadership en
dc.subject Social Support en
dc.subject Personnel, Hospital en
dc.subject Research Personnel en
dc.subject New South Wales en
dc.subject Translational Medical Research en
dc.title Patterns of collaboration in complex networks: the example of a translational research network. en
dc.type Journal Article en
dc.identifier.doi 10.1186/1472-6963-14-225 en
pubs.begin-page 225 en
pubs.volume 14 en
dc.rights.holder Copyright: The authors en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.elements-id 685935 en Medical and Health Sciences en Population Health en Health Systems en
dc.identifier.eissn 1472-6963 en
pubs.record-created-at-source-date 2014-06-04 en
pubs.dimensions-id 24885971 en

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