Web Science/Part2: Emerging Web Properties/How big is the World Wide Web/An unrealistic, simplistic generative model

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An unrealistic, simplistic generative model

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Learning goals

  1. Can be used to try to give a reason why something works.
  2. need to be run more than once!
  3. understand the notion of a modeling parameter
  4. will be compared to the descriptive model of our object of study.
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Video

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Quiz

1

Why is formulating a hypothesis so crucial in the process of scientific modelling?

Formulating a hypothesis clears the path towards a clear defined model
Often simplifying assumptions are knit into the hypothesis and the afterwards built model

2

Every Minute 0.19305 words are generated on the simple english wikipedia

true
False

3

Why should one have several runs of a generative probabilistic model?

in the first run the caches need to warm up
to get statistic stability
because random experiments can produce strong outliers in just one run
there is no cost of making sure the computer did correct calculations by running the experiment twice or more
because every scientific experiment should be repeated more than once to avoid mistakes

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Further reading

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Discussion