diff --git a/mixnet/v2/sim/adversary.py b/mixnet/v2/sim/adversary.py
index af7759c..d4af53e 100644
--- a/mixnet/v2/sim/adversary.py
+++ b/mixnet/v2/sim/adversary.py
@@ -1,5 +1,8 @@
+from __future__ import annotations
+
 import math
 from collections import defaultdict
+from enum import Enum
 from typing import TYPE_CHECKING
 
 import simpy
@@ -19,6 +22,8 @@ class Adversary:
         self.message_sizes = []
         self.senders_around_interval = defaultdict(int)
         self.mixed_msgs_per_window = []
+        self.node_states = defaultdict(dict)
+
         self.env.process(self.update_observation_window())
 
     def inspect_message_size(self, msg: SphinxPacket | bytes):
@@ -26,11 +31,15 @@ class Adversary:
 
     def observe_incoming_message(self, node: "Node"):
         self.mixed_msgs_per_window[-1][node] += 1
+        # TODO: check duplications. Two events at the same time?
+        self.node_states[self.env.now][node] = NodeState.RECEIVING
 
     def observe_outgoing_message(self, node: "Node"):
         self.mixed_msgs_per_window[-1][node] -= 1
         if self.is_around_message_interval(self.env.now):
             self.senders_around_interval[node] += 1
+        # TODO: check duplications. Two events at the same time?
+        self.node_states[self.env.now][node] = NodeState.SENDING
 
     def is_around_message_interval(self, time: SimTime):
         now_frac, now_int = math.modf(time)
@@ -40,3 +49,8 @@ class Adversary:
         while True:
             self.mixed_msgs_per_window.append(defaultdict(int))
             yield self.env.timeout(self.config.adversary.io_observation_window)
+
+
+class NodeState(Enum):
+    SENDING = 0
+    RECEIVING = 1
diff --git a/mixnet/v2/sim/analysis.py b/mixnet/v2/sim/analysis.py
index ba175d8..3efb60b 100644
--- a/mixnet/v2/sim/analysis.py
+++ b/mixnet/v2/sim/analysis.py
@@ -2,6 +2,7 @@ import pandas as pd
 import seaborn
 from matplotlib import pyplot as plt
 
+from adversary import NodeState
 from simulation import Simulation
 
 
@@ -13,6 +14,7 @@ class Analysis:
         self.message_size_distribution()
         self.messages_emitted_around_interval()
         self.mixed_messages_per_node_over_time()
+        self.node_states()
 
     def message_size_distribution(self):
         df = pd.DataFrame(self.sim.p2p.adversary.message_sizes, columns=["message_size"])
@@ -50,3 +52,19 @@ class Analysis:
         plt.legend(title="Node ID")
         plt.grid(True)
         plt.show()
+
+    def node_states(self):
+        rows = []
+        for time, node_states in self.sim.p2p.adversary.node_states.items():
+            for node, state in node_states.items():
+                rows.append((time, node.id, state))
+        df = pd.DataFrame(rows, columns=["time", "node_id", "state"])
+
+        plt.figure(figsize=(10, 6))
+        seaborn.scatterplot(data=df, x="time", y="node_id", hue="state", palette={NodeState.SENDING: "red", NodeState.RECEIVING: "blue"})
+        plt.title("Node states over time")
+        plt.xlabel("Time")
+        plt.ylabel("Node ID")
+        plt.legend(title="state")
+        plt.show()
+