Fig. 4

The magnitude of Twitter behavioral shift following a Spring Forward event, averaged for the 4 years from 2011 to 2014. a Shift measured using behavioral curve peaks, the difference between the pair of maps in Fig. 3 (bottom minus top). Texas is estimated to have experienced the greatest time shift. The effect of Spring Forward is more pronounced in the South, and center of the country. Alaska, Nebraska, and Hawaii have negative shifts. b The same map, but with measurements calculated using twinflection shift instead. The states most affected are Texas and Mississippi, where the shift was 105 and 75 min respectively. Hawaii and Alaska are estimated to have negative shifts (15, and 30 min respectively). Twinflection shift produces similar spatial results to peak shift, with greater shift estimates. c The number of tweets posted from each state in the period after Spring Forward. California and Texas both contributed over 200,000 tweets, while Alaska, Hawaii, Idaho, Wyoming, Montana, North Dakota, South Dakota, Wyoming, Delaware, New Hampshire, Maine and Vermont each produced less than 10,000 tweets. (d) The density of data used to establish the experimental pattern of behavior, as measured by tweets per capita. This measurement reflects the ability of the data to capture the behavior of the tweeting population of each state. While Idaho, Wyoming, Montana, Utah and South Dakota have relatively little data compared to their populations, the remaining states have similar data density, with somewhere between five and eleven tweets per thousand residents, with the exception of the District of Columbia which has 35. Note: both panels (c) and (d) use logarithmically spaced colorbars