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Table 6 Parameters explanation

From: Influences on influenza transmission within terminal based on hierarchical structure of personal contact network

Symbol Name Value Source
f(t) Transmission probability density function - Calculated by Eq. (3)
t Valid contact time - /min Social relation pattern
β i Infection rate of different immunity phase β1 = 37.56%, β2 = 8.37%, β3 = 16.25% Dr. Huang SQ’s doctoral dissertation
F(t) Probability distribution function - Calculated by Eq. (4)
α Layer of hierarchical network 0, 1, 2, 3 Structure of personal contact network
n Node number - Structure of personal contact network
{n i } Set of all unit model - Structure of personal contact network
C Clustering coefficient 0 ~ 1 Figure 5 (b)
M Number of basic unit model - Calculated by Eq. (5)
N Number of nodes in a personal contact network - Structure of personal contact network
n 0 Number of nodes in all the unit models - Structure of personal contact network
W Newly constructed network - Calculated by Eq. (6)
U All nodes in network - Calculated by Eq. (6)
V All edges in network - Calculated by Eq. (6)
u i Node set in a unit model i - Structure of personal contact network
v i Edge set in a unit model i - Structure of personal contact network
v new Newly added edges - Structure of personal contact network
n x Number of unit models that compose the higher layer network - Structure of personal contact network
F(y) Probability distribution function of adding new edge - Calculated by Eq. (7)
d i Actual degree of individual i in layer α - Characteristic of network and structure of personal contact network
d i max Maximum degree of links that individual i owns in layer α − 1 - Characteristic of network and structure of personal contact network
l Spatial distances 0 ~ 0.55, 0.55 ~ 0.8, 0.8 ~ 1.2, 1.2 ~ 3.6 Social relation pattern
ω Intimate relationships 2.6, 1.8, 1.5, 0 Social relation pattern
p(k) Degree distribution 10−6 ~ 10−1 Figure 5 (a)