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Table 5 Sample detected events for different Poisson signal thresholds

From: Real-time spatio-temporal event detection on geotagged social media

Event time

C

Area

Top hashtag/mentions

Events using smoothing method with \(\tau _1 = 0.00125\)

 -S 01-18 10:10 -D 50

27

6.969

#funk, @choiproductions, #nofilterwtf, @jeffreymayfield, #saxophone

 -S 01-21 07:50 -D 70

20

0.435

#gostars, @mcg, #mcg, #bbl06, #melbourne

 -S 01-22 02:10 -D 70

18

0.109

#50th

 -S 01-22 08:20 -D 60

15

0.109

 

 -S 01-29 12:10 -D 60

72

1.741

#ausopen, #australianopen, #federer, #rogerfederer, #champion

 -S 01-29 12:10 -D 70

73

0.109

#ausopen, #australianopen, #federer, #champion, #rogerfederer

Events using smoothing method with \(\tau _1 = 0.000625\)

 -S 01-21 08:10 -D 50

14

0.435

#gostars, #mcg, @mcg, #bbl06, #melbourne

 -S 01-29 12:10 -D 70

73

0.109

#ausopen, #australianopen, #federer, #champion, #rogerfederer

Events using Poisson signal with \(\tau _1 = 0.0003125\)

 -S 01-29 12:10 -D 50

61

0.109

#ausopen, #australianopen, #federer, #rogerfederer, #18