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

机译:复杂网络中协作模式:翻译研究网络的示例

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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.
机译:背景技术本文审查了由一系列基于医院的临床医生和大学的研究人员组成的复杂翻译癌症研究网络(TRN)中的合作。我们研究了人们近核和往往的人口(筒仓)的现象,并测试了与这种聚类(地理,专业和过去经验相关的因素的程度影响了TRN项目的当前和未来合作模式。了解更多这些模式,尤其是成员之间的差距或障碍,将有助于网络领导人管理子组,并促进对高效网络功能至关重要的连接至关重要。方法在线,整个网络调查用于从2012年初澳大利亚新南威尔士州新南威尔士州的新TRN的所有成员收集属性和关系数据。68名成员来自六个独立的医院和大学校园。与UCINET的社交网络分析测试了地理接近,专业,过去的研究经验,领导力和以前的合作的影响,以及过去,现在和未来的拟人的合作。结果地理接近和过去的工作关系都对当前协作合作伙伴的选择具有显着影响。未来的预期合作包括基于其他成员的声誉的大量弱联系和关系,这意味着TRN为伙伴关系提供了新的机会。专业分组是翻译研究文献中讨论的重大障碍,影响了过去的合作,而不是当前或未来的合作,可能通过网络经纪人的调解。结论由于地理邻接在合作者的选择中很重要,因此可以考虑通过改善虚拟通信技术和使用,从项目相关工作之外提高社会互动,以及最大限度地利用来自其他网站的成员的社会互动来考虑增强横地网站的交互。关键网络播放器具有重要的经纪角色,促进组之间的联系。

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