Table 2.

Descriptive statistics for Twitter cyberbehaviors.

Cyberbehaviors	SFBAa (n=61)	GLAb (n=58)	P valuec
	Mean	Mean
Account Age, Days (Years)	1107.8 (3.0)	1006.2 (2.8)	.49
Total Days Tweeting	285.5	202.6	.14
Tweets Collected	965.4	590.3	.21
Max. Tweets Per Day	15.1	16.4	.87
Average Tweets Per Day	3.0	2.9	.72
MADd Tweets Per Day	0.8	0.8	.92
Percentage of Days Tweeting	25.9	24.1	.34
Percentage of Tweets with Media	20.4	21.0	.98
Percentage of Tweets with #e	40.4	40.4	.92
Percentage of Tweets with @f	26.1	27.6	.54
Percentage of Tweets with RTg	10.2	10.5	.63
Percentage of Tweets with Hyperlink	55.9	51.8	.47

^aSFBA: San Francisco Bay Area.

^bGLA: Greater Los Angeles.

^cThe P values were calculated with the Wilcoxon rank-sum tests to accommodate for the nonparametric nature of the cyberbehaviors.

^dMAD: median absolute deviation.

^e#=hashtag.

^f@=user mention.

^gRT: Retweet.