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Q57411872-DC85E4B5-C3B0-464C-B3E5-0DD2CE72A6DF
Q57411872-DC85E4B5-C3B0-464C-B3E5-0DD2CE72A6DF
BestRank
Statement
http://www.wikidata.org/entity/statement/Q57411872-DC85E4B5-C3B0-464C-B3E5-0DD2CE72A6DF
Understanding the spatio-temporal characteristics of Twitter data with geotagged and non-geotagged content: two case studies with the topic of flu and Ted (movie)
P2860
Q57411872-DC85E4B5-C3B0-464C-B3E5-0DD2CE72A6DF
BestRank
Statement
http://www.wikidata.org/entity/statement/Q57411872-DC85E4B5-C3B0-464C-B3E5-0DD2CE72A6DF
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type
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wasDerivedFrom
c12451beadb235599a49fc0db726348fbb64eb5b
P2860
Why we twitter: understanding microblogging usage and communities