Methods and systems may be used automated profiling and context dependent cooperative Internet of Things (IoT) management operations. Sensor data may be received from a plurality of devices, arranged into states, and categorized to generate a plurality of behavior categories. State transitions of the sensor data may be detected to generate state transition events. Interdependencies between the states and the state transition events may be analyzed using sets of event pattern detection rules. Actionable event patterns (AEPs) may be created and run based at least on the states and the state transition events to detect combinations of behavior patterns. Control actions and/or alerts may be sent to devices/users based on the detected combinations of behavior pattern. An interdependency graph (IDG) may be generated and/or displayed to users to represent the interdependencies between the states and the state transition events.