Working Group Physical Activity-Related Prevention Research, Institute of Movement Therapy and Movement-Oriented Prevention and Rehabilitation, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
IQIB-Institut für Qualifizierende Innovationsforschung & -beratung, Wilhelmstraße 56, 53474 Bad Neuenahr-Ahrweiler, Germany.
Int J Environ Res Public Health. 2021 Jun 26;18(13):6874. doi: 10.3390/ijerph18136874.
Cross-company networking and counseling is considered to be a promising approach for workplace health promotion in small and medium-sized enterprises. However, a systematic and empirical approach on how such networks can be developed is lacking. The aims of the present paper are to describe the approach of a social network analysis supporting the development of a cross-company network promoting physical activity and to present first results. In the process of developing the methodological approach, a common understanding of the nodes and edges within the project was elaborated. Based on the BIG-model as the theoretical framework of the project, five measuring points and an application-oriented data collection table were determined. Using Gephi, network size, degree, and distance measures, as well as density and clustering measures, were calculated and visualized in the course of the time. First results showed a continuous expansion and densification of the network. The application experience showed that the application of social network analysis in practical cross-company network development is promising but currently still very resource intensive. In order to address the current major challenges and enable routine application, the development of an application-oriented and feasible tool could make an essential contribution.
跨公司网络和咨询被认为是促进中小企业工作场所健康的一种很有前途的方法。然而,缺乏关于如何开发此类网络的系统和经验方法。本文的目的是描述一种支持发展促进身体活动的跨公司网络的社会网络分析方法,并介绍初步结果。在制定方法的过程中,详细阐述了项目中节点和边缘的共同理解。基于 BIG 模型作为项目的理论框架,确定了五个测量点和一个面向应用的数据收集表。使用 Gephi,在时间过程中计算并可视化了网络大小、度和距离度量以及密度和聚类度量。初步结果表明网络不断扩大和密集化。应用经验表明,社会网络分析在实际跨公司网络开发中的应用很有前途,但目前仍然非常耗费资源。为了解决当前的主要挑战并实现常规应用,开发面向应用且可行的工具可以做出重要贡献。