Idea

1Cademy Nodes for Bayesian Networks Analysis

In order to understand Bayesian networks, individuals have collaborated together to create nodes about related concepts.

On March 14, 2020, S8 explained gave a general overview of belief propagation and gave a simple overview of its definition and connection to Bayesian networks. However, this general overview was likely not sufficient enough to fully understand the significance of this concept. 3 days after the initial proposal, on March 17, S4 then added more information on the details of the process, allowing for node to have more cohesive information. On the same day, S4 then made two more child nodes relating to this concept. With the addition of the new proposals, the presentation of belief propagation became more cohesive and better organized specific details pertaining to this topic.

An interesting point to note is that on the same day S8 created the node on belief propagation, they also created a child node that contained a picture showcasing with belief propagation, but did not include an explanation. However, almost 8 days later, on March 22, S8 proposed an improvement to add a description explaining the steps in the image. Although not confirmed, it could be possible that S4's proposal on S8's node, prompted them to reassess their learning and presentation of the information and therefore want to improve their node to be more informative.

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Updated 2020-05-18

References


Tags

CSCW (Computer-supported cooperative work)

Computing Sciences