Table 4.

Results from a series of hypothesis tests and QAP regression analysis on Network II from Fig. 2. Two of the hypotheses produced significant results for a significance level of α = 0.10. Note that in column 3, the labels “Level 1” and “Level 2” refer to the illness/income measure being at a low or high level, respectively.

Hypothesis	Approach	Result
The frequency of travel tends to be greater between block groups with the same level of illness.	Hypothesis Testing (Homophily)	Level 1: p = 0.0954 Level 2: p = 0.0228
The frequency of travel tends to be greater between block groups within the same income bracket.	Hypothesis Testing (Homophily)	Level 1: p = 0.0614 Level 2: p = 0.1382
The frequency of travel tends to be greater between block groups with the same gender distribution.	Hypothesis Testing (Homophily)	Not Significant
The frequency of travel tends to be greater between block groups with the same percentage of flu shot reception.	Hypothesis Testing (Homophily)	Not Significant
Illness similarity is dependent upon frequency of travel.	QAP – Edge Based	Not Significant