Using data from three recent waves (2005, 2008, and 2012) of the Chinese Longitudinal Healthy Longevity Survey (n = 4190), we constructed four network types using the K-means clustering method (i.e., diverse, friend, family, and restricted), and examined their impacts on a variety of health outcomes (i.e., physical, cognitive, psychological, and overall well-being).
Table 1 shows the mean and standard deviation of the steps to failure across each of the three network types using these control methods.
Table 1 Average steps to failure over three network types using three unintelligent control strategies Method Network Mean SD Null Scale free 6.68 1.15 Random 6.40 1.05 Small world 5.50 0.85 Random Scale free 6.36 1.15 Random 6.05 1.04 Small world 5.25 0.84 Distribution Scale free 6.69 1.29 Random 6.39 1.19 Small world 5.60 1.01.
Afterwards, we focus on the four different types of innovation separately, as the network types used depend significantly on the type of innovation.
The network types used in the studies were the following: mobile broadband in 8 and wired broadband in 31 of the studies included.
Figures 3, 4 and 5 show the average percent of all control tests that reached 50,000 rounds for each network type using a learned policy and 3, 5 and 10 controllers, respectively.
A system may use both network types, especially when authentication is necessary for communication.
According to the interviews, despite the distinct characteristics of the network types, some shipping lines tend to use the same hub port for both network types due to the high bargaining power associated with large handling volumes.
In this section, we analyze the inference performances of C3NET locally, investigating various network types by using local network-based performance metrics.
We also verified if the unique subgraphs indeed represent PPI networks in specific cancer types using quantitative validation methods.
