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We considered the areas with the highest 15% happiness scores as happy areas, while the areas with the lowest 15% happiness scores as unhappy areas.
Happy areas receive more calls from happy areas than from unhappy areas, and unhappy areas receive more calls from unhappy areas than from happy areas.
Similarly, the mean of the communication weights of the happy areas calling and receiving calls to/from other happy areas is statistically significantly different from the mean communication weights of the happy areas communicating with unhappy areas ((p ll0.00001)).
Taking into account the whole volume of communication, happy areas tend to call happy areas more than they call unhappy areas.
Nodes labeled with + represent happy areas and nodes labeled with − represent unhappy areas.
Nodes labeled with + represent happy areas, while nodes labeled with − represent unhappy areas.
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So if I'm trying to decide today, "hmmm, uptown or downtown?" I can look at the Happiness Map to see where the happiest areas are and go there.
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Not surprisingly, Bar-Lev found that the residents of the Happy Valley area were "really quite riven, there are a lot of fault lines.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com