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A Thermometer for Interdependence: Exploring Patterns of Interdependence Using Networks of Affordances Research-in-Progress

机译:用于相互依存的温度计:利用随力研究进展的网络探索相互依存模式

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Interdependence is a central concept in systems and organizations, yet our methods for measuring it are not well developed. Here, we report on a novel method for transforming digital trace data into networks of events that can be used to visualize and measure interdependence. The edges in the network represent sequential flow and the vertices represent actors, actions and artifacts. We refer to this representation as an affordance network. As with conventional approaches such as process mining, our method uses input from a stream of time-stamped occurrences, but the representation is simpler and more appropriate for exploration and theory building. As digital trace data becomes more widely available, this method may become more useful in information systems research and practice. Like a thermometer, it helps us measure a basic property of a system that would otherwise be difficult to see.
机译:相互依存是系统和组织中的核心概念,但我们的测量方法并不发布。在这里,我们报告了一种用于将数字跟踪数据转换为可用于可视化和测量相互依赖的事件网络的新方法。网络中的边缘表示顺序流,顶点代表参与者,动作和伪像。我们将此表示称为可供客户。与诸如过程挖掘的传统方法一样,我们的方法使用从时间戳的出现流中的输入,但是表示更简单,更适合探索和理论建设。随着数字跟踪数据变得更广泛,这种方法在信息系统的研究和实践中可能变得更加有用。与温度计一样,它有助于我们测量系统的基本属性,否则难以看到。

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