In a time where online social media has a significant influence on both individuals and groups of people in our modern societies, there is a need to have a digital tool that helps gather and construct data from online social media, then use this data to detect influence between individual users by measuring and classifying the strength and field of this detected influence. This research proposes a method for influence detection, then builds a technical solution on top of it to enable analyzers of online social media to have a visual and scientific understanding of the influence flow in online social media. The results achieved from the project of this research is a technical information system that can crawl data from online social media, then detect and classify influence between online users and visualize this information in intuitive graphs.