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Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns

机译:传感器网络研究中的合作:对各种混合模式的深入纵向分析

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摘要

Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research centerin the development and application of wireless and sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers’ propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.
机译:科学合作的许多研究都是基于对由书目存储库构建的大型网络的统计分析。这些调查通常依赖大量的书目数据,但是很少或没有其他有关网络中个人的信息,因此无法说明进行协作的更广泛的社会和学术环境。在本文中,我们对从研究中心在无线和传感器网络技术的开发和应用中建立的相对较小的科学合作网络(N = 291)进行了深入的纵向分析。我们对网络的选定结构属性进行初步分析,计算其范围,配置和拓扑。然后,我们通过对选定节点特征的各种混合进行深入的时间调查来支持初步的统计分析,从而揭示了研究人员倾向于与具有相似学术背景的其他人优先合作的倾向。我们对混合模式的定性分析提供了有关科学界的性质的线索,这些性质是根据​​其组织,学科,机构和国际合作安排进行建模的。

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