Methodology: In the context of this work, we define superspreaders as individuals that have a large number of contacts within the course of a time interval. To assess the impact of these individuals on the contact network, we construct a graph for each 5-minute interval, then we identify the top N people that had the largest number of contacts within this specific time interval and then we remove them from the graph. Our analysis assess the percentage of contacts that remain in the contact networks after removing the top 2, 3, 4, 5, 6, 8, 10, 15, 20, and 50 superspreaders. Below we report our results and the main take away points from our analysis.

Main Insights: Our experimental results indicate that indeed a small percentage of people are responsible for a large number of contacts in our contact network. For instance, by looking at the last column in Table 1, by removing the top 10 superspreaders (approx. 1% of the entire population), we effectively remove over 26% of all the contacts.

Enforced Policy

Mean #contacts per person

Median #contacts per person

Mean #contacts per observation

Median #contacts per observation

Overall %contacts

None

0.42

0.16

300.87

115

100.00%

Removing top 2 superspreaders

0.39

0.14

278.56

105

92.58%

Removing top 3 superspreaders

0.38

0.14

269.31

101

89.50

Removing top 4 superspreaders

0.36

0.13

260.94

98

86.72%

Removing top 5 superspreaders

0.35

0.13

253.33

95

84.20%

Removing top 6 superspreaders

0.34

0.13

246.30

92

81.86%

Removing top 8 superspreaders

0.33

0.12

233.59

88

77.63%

Removing top 10 superspreaders

0.31

0.11

222.05

83

73.80%

Removing top 15 superspreaders

0.27

0.10

197.28

73

65.56%

Removing top 20 superspreaders

0.25

0.09

177.04

65

58.84

Removing top 50 superspreaders

0.14

0.04

102.44

33

34.04%