Influence: Social Interaction and Online Metrics

This lecture explores the concept of influence in a social context, discussing how one person can cause changes in another's behavior through normal interaction. It delves into the mechanisms of influence occurring in person-to-person conversations, mass media, and online social networks. The lecture also covers the measurement and modeling of influence using online social network metrics like likes, followers, and retweets. Additionally, it examines the Page Rank algorithm used by Google to rank web pages based on their influence. The discussion extends to the influence of money in various aspects such as advertising, corruption, and campaign finance, as analyzed by Piketty.