Academic conferences create an opportunity to disseminate new research, network with like‐minded researchers, and make new connections. The use of Twitter at these conferences continues to expand. This article focuses on how the Twitter data generated during conferences can be visually analysed in terms of community detection, connectivity, and information flows. Using social network analysis techniques and an online survey, the article analyses the subgroups within the entire network, their institutional affiliations, and research interest, and then focuses on the roles of the highly connected Twitter uses in the network. Through in‐depth analysis, the data revealed both how Australian geography academics use Twitter during a conference and how they cluster based on affiliations and research interest and also identified the information bridges in the social media conference network generated by using #IAG2019Hobart. The article concludes with some recommendations for further research.

中文翻译：

---

机构和跨机构研究集群：＃IAG2019Hobart的社区检测分析

学术会议为传播新研究，与志趣相投的研究人员建立联系并建立新的联系提供了机会。在这些会议上Twitter的使用正在继续扩大。本文重点介绍如何在社区检测，连通性和信息流方面对会议期间生成的Twitter数据进行可视化分析。使用社交网络分析技术和在线调查，本文分析了整个网络中的子组，它们的机构隶属关系和研究兴趣，然后重点介绍了高度关联的Twitter在网络中使用的角色。通过深入分析，数据揭示了澳大利亚地理学者在会议期间如何使用Twitter，以及他们如何根据从属关系和研究兴趣进行聚类，还确定了使用＃IAG2019Hobart生成的社交媒体会议网络中的信息桥。本文最后提出了一些进一步研究的建议。