Ementorhub

What you'll learn

Learn to calculate and interpret key centrality measures to identify influential nodes in social networks.

Gain skills in applying statistical models to analyze relationships and dynamics within social networks.

Understand how foundational social theories inform network analysis and shape interpretations of social interactions.

Skills you'll gain

Statistical Hypothesis Testing

Statistical Analysis

Graph Theory

R Programming

Social Sciences

Sociology

Statistical Modeling

Network Analysis

Trend Analysis

There are 4 modules in this course

By completing this course, learners will gain a solid understanding of how to identify key influencers, measure network cohesion, and conduct hypothesis testing using empirical data. What sets this course apart is its blend of theoretical foundations and hands-on experience using R programming for network analysis, specifically with tools like 'statnet' and 'RSiena.' Whether you’re looking to enhance your skills in data analysis or seeking to understand the dynamics of social behavior, this course will serve as a vital resource. With a focus on real-world applications, learners will emerge equipped to tackle complex social phenomena, making significant contributions to their fields.

Graph Theory and Centrality Measures

Centralization and Social Theory

Network Statistical Models