在线生命科学社区中集体话语用户交互的可视化
Visualizing Collective Discursive User Interactions in Online Life Science Communities
摘要：
本文重点介绍了BioViz的发展，一个工具，以帮助可视化在线生命科学社区的集体用户交互的存在的基本原理。研究的第一个社区大约有22，750个独立用户，第二个社区有35，000个。要弄清楚这些网络中参与者之间的互动数量，以便辨别集体组织和智能行为的模式，是一项挑战。其中一个复杂因素是，论坛-我们感兴趣的对象-的目的和职权范围可能各不相同（例如，性别在生命科学中的作用，到实践论坛，如探索细胞系培养的论坛），这就形成了论坛组织本身的结构。我们的方法随机抽取了53个论坛，这些论坛由我们的研究团队手动分析，参与者之间的交互记录为节点之间的弧。本文重点讨论了我们的方法的效用，但提出了一些简短的结果，以突出的形式，可以在确定集体形成的知识。具体来说，我们发现，通过使用基于矩阵的可视化方法，我们能够看到集体行为的模式，我们认为这对集体智慧的研究和虚拟组织的设计都是有价值的。
英文摘要：
This paper highlights the rationale for the development of BioViz, a tool to help visualize the existence of collective user interactions in online life science communities. The first community studied has approximately 22,750 unique users and the second has 35,000. Making sense of the number of interactions between actors in these networks in order to discern patterns of collective organization and intelligent behavior is challenging. One of the complications is that forums - our object of interest - can vary in their purpose and remit (e.g. the role of gender in the life sciences to forums of praxis such as one exploring the cell line culturing) and this shapes the structure of the forum organization itself. Our approach took a random sample of 53 forums which were manually analyzed by our research team and interactions between actors were recorded as arcs between nodes. The paper focuses on a discussion of the utility of our approach, but presents some brief results to highlight the forms of knowledge that can be gained in identifying collective group formations. Specifically, we found that by using a matrix-based visualization approach, we were able to see patterns of collective behavior which we believe is valuable both to the study of collective intelligence and the design of virtual organizations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
