Professional Certificate in Social Network Analysis
-- ViewingNowThe Professional Certificate in Social Network Analysis is a comprehensive course that equips learners with the essential skills to analyze and interpret social network data. This program is crucial in today's digital age, where social media networks have become a significant source of data for businesses and organizations.
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โข Introduction to Social Network Analysis: Overview of social network analysis, its history, and its applications.
โข Data Collection for Social Network Analysis: Techniques for gathering data, including survey design, web scraping, and APIs.
โข Network Data Analysis using Python: Hands-on experience with programming languages and libraries for network data analysis, such as NetworkX and Pandas.
โข Graph Theory and Mathematical Foundations: Introduction to graph theory, matrices, and measurement in social network analysis.
โข Visualization of Social Networks: Techniques for creating visualizations of social networks, including node-link diagrams and matrix representations.
โข Centrality Measures in Social Network Analysis: Analysis of nodes and their importance, including degree, closeness, betweenness, and eigenvector centrality.
โข Community Detection in Social Networks: Techniques for identifying communities and clusters within networks, including modularity and clique percolation.
โข Social Network Analysis Applications: Real-world applications of social network analysis, including organizational studies, public health, and political science.
โข Ethics of Social Network Analysis: Discussion of ethical considerations in social network analysis, including privacy, informed consent, and research ethics.
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