Networks and Crowds: Analyze Social and Economic Connections

Every day, we interact with massive social networks, online markets, and collective decision-making systems without fully understanding the underlying patterns that govern them. This course bridges the gap between social science and computing, showing you how to analyze these complex connections using logical, computational thinking. By reading through this text-based course, you will develop a structured framework to explain real-world phenomena like viral trends, financial markets, and social influence. You will gain the analytical tools to see the world not just as a collection of individuals, but as a highly connected network of strategic decision-makers. What you'll learn: - Understand the foundational principles of graph theory, social networks, and strong versus weak ties. - Apply basic game theory concepts to analyze strategic interactions in markets and social settings. - Analyze how information cascades, echo chambers, and modern algorithmic platforms shape collective behavior. - Evaluate network dynamics, search algorithms, and the structural properties of the web. - Explore the principles of voting systems, auctions, and digital marketplaces. The course begins with essential terminology and the structural concepts of networks before moving into strategic behavior and market dynamics. You will then progress to analyzing real-world scenarios, exploring how information spreads and how modern digital platforms influence crowd behavior. Designed entirely for beginners, this course requires no prior background in computer science, advanced mathematics, or economics. Start reading today to unlock a computational perspective on human behavior and social networks.