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[NetMiner 4] Multivariate Statistical Analysis of Network Indices

This course covers how to statistically interpret the results of network data analysis and how to test the significance of statistical measures. When applying traditional statistical methods such as cross-tabulation, analysis of variance, correlation analysis, and regression analysis, researchers need to understand how the characteristics of network data and network indices affect significance testing and use appropriate methods. The course consists of examples covering analytical topics frequently encountered by researchers—such as analyzing associations between variables, testing the significance of network indices, and analyzing associations among multiple networks—along with hands-on exercises using NetMiner.

2 learners are taking this course

Level Intermediate

Course period 2 months

Big Data
Big Data
data-analysis
data-analysis
mcmc
mcmc
network-analysis
network-analysis
social-network
social-network
Big Data
Big Data
data-analysis
data-analysis
mcmc
mcmc
network-analysis
network-analysis
social-network
social-network

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$49.50