Executive Development Programme in Strategic Text Network Analysis for Growth

• Introduction to Text Network Analysis: Fundamentals, basic concepts, and applications.
• Data Preprocessing: Data cleaning, wrangling, and preparing text data for network analysis.
• Network Construction: Creating networks from text data, including co-occurrence, proximity, and dependency networks.
• Network Visualization: Techniques for visualizing text networks, emphasizing node-link diagrams and matrix representations.
• Centrality Measures: Quantifying node importance through degree, closeness, betweenness, and eigenvector centrality.
• Community Detection: Identifying clusters or communities within text networks, employing methods like modularity maximization and hierarchical clustering.
• Structural Hole Analysis: Detecting and analyzing structural holes to reveal influential nodes and brokerage opportunities.
• Temporal Network Analysis: Examining the evolution of text networks over time, change point detection, and dynamic network analysis.
• Text Network Analysis Software and Tools: Overview of popular software (Gephi, NodeXL, etc.) and programming libraries (NetworkX, igraph, etc.) for text network analysis.
• Strategic Applications: Applying text network analysis in business growth, such as competitive intelligence, market research, innovation management, and organizational network analysis.