Interactive Virtual Worlds offer new individual and social experiences in a huge number of artificial realities. They even have huge potential for the examine of how folks interact, and how societies function and evolve. Systematic collection and analysis of in-play behavioral information might be invaluable for enhancing participant experiences, facilitating efficient administration, and unlocking the scientific potential of on-line societies. This paper details the development of a framework to collect player data in Minecraft. We present a whole resolution which could be deployed on Minecraft servers to send collected information to a centralized server for visualization and evaluation by researchers, players, and server directors. Using the framework, we collected and analyzed over 14 individual-days of active gameplay. minecraft servers built a classification instrument to determine excessive-stage player behaviors from observations of their moment-by-moment recreation actions. Heat map visualizations highlighting spatial habits might be used by gamers and server directors to judge recreation experiences. Our information collection and analysis framework affords the opportunity to know how individual behavior, environmental components, and social systems interact by means of giant-scale observational studies of virtual worlds.