This paper examines user influence on Twitter using three measures: indegree (number of followers), retweets, and mentions. The authors analyze a large dataset from Twitter, including 54 million users and 1.7 billion tweets, to compare these measures and investigate their dynamics across topics and time. Key findings include: 1. **In-degree vs. Influence**: Users with high indegree are not necessarily influential in terms of retweets or mentions. This suggests that indegree alone does not fully capture a user's influence. 2. **Diverse Influence**: Most influential users have significant influence over multiple topics, indicating that they can transfer their influence beyond their area of expertise. 3. **Effort and Influence**: Influence is not spontaneous but results from concerted effort, such as focusing on a single topic and posting valuable content. The study provides insights for viral marketing and highlights the limitations of relying solely on indegree to measure user influence. The findings also suggest that ordinary users can gain influence by engaging actively with their audience, particularly through creative and insightful content.This paper examines user influence on Twitter using three measures: indegree (number of followers), retweets, and mentions. The authors analyze a large dataset from Twitter, including 54 million users and 1.7 billion tweets, to compare these measures and investigate their dynamics across topics and time. Key findings include: 1. **In-degree vs. Influence**: Users with high indegree are not necessarily influential in terms of retweets or mentions. This suggests that indegree alone does not fully capture a user's influence. 2. **Diverse Influence**: Most influential users have significant influence over multiple topics, indicating that they can transfer their influence beyond their area of expertise. 3. **Effort and Influence**: Influence is not spontaneous but results from concerted effort, such as focusing on a single topic and posting valuable content. The study provides insights for viral marketing and highlights the limitations of relying solely on indegree to measure user influence. The findings also suggest that ordinary users can gain influence by engaging actively with their audience, particularly through creative and insightful content.