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This work addresses the problem of visualizing interactions between agents self-organizing in a non-codified way. This kind of behavior emerges from a human factor, which is heavily involved in the presented case of multiagent system. Tasks and intentions of users present in the system are unknown and the proposed method of analyzing and debugging temporary structures emerging in the system is the eavesdropping of the communication between the actors. A separate software service is proposed, which makes the inferred structure data accessible by an external higher scale system. An example of visualization is provided in the form of SVG-based interactive dynamic block diagram.