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We consider an event to be of local impact if it generates conversation from users in only one location (i.e., one interested location).
We consider an event to be of regional impact if it generates conversation from users in more than one interested location, all from the same region.
Besides, this method is appropriate for an interested location where the H ¯ is the only available solar radiation data at the site.
We consider an event to be of global impact if it generates conversation from users in more than one interested location in which at least one of those locations is not from the same region.
We augment the information about the event by explicitly including its spatial context with the vectors P and I, which correspond to the protagonist and interested location values, respectively, for the event E.
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We counted the number of different interested locations for each event, however only considering interest measurements within the 99-th percentile of the dataset.
But there are occasional nuggets which keep you interested – locations where you walk in and genuinely feel spooked.
Therefore, the event is considered to have four interested locations.
interested locations, which are the locations from where users comment on the event.
These would be considered as the interested locations of that event.
In particular we introduce two types of geographical contexts for events: (1) protagonist locations, and (2) interested locations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com