Interactive Virtual Worlds supply new individual and social experiences in a huge number of synthetic realities. They even have enormous potential for the examine of how people work together, and the way societies operate and evolve. Systematic collection and evaluation of in-play behavioral information will probably be invaluable for enhancing participant experiences, facilitating effective administration, and unlocking the scientific potential of online societies. This paper particulars the event of a framework to gather participant information in Minecraft. We present a complete resolution which may be deployed on Minecraft servers to send collected data to a centralized server for visualization and analysis by researchers, players, and server directors. Utilizing MINECRAFT SERVER LIST , we collected and analyzed over 14 individual-days of lively gameplay. We built a classification software to determine high-stage participant behaviors from observations of their second-by-moment sport actions. Heat map visualizations highlighting spatial conduct may be used by players and server administrators to evaluate game experiences. Our knowledge assortment and evaluation framework gives the opportunity to know how particular person habits, environmental components, and social systems work together by way of giant-scale observational studies of virtual worlds.