diff --git a/reCTBN/src/tools.rs b/reCTBN/src/tools.rs
index 47a067d..c58403a 100644
--- a/reCTBN/src/tools.rs
+++ b/reCTBN/src/tools.rs
@@ -1,7 +1,11 @@
 //! Contains commonly used methods used across the crate.
 
 use ndarray::prelude::*;
+use rand::{Rng, SeedableRng};
+use rand_chacha::ChaCha8Rng;
 
+use crate::process::ctbn::CtbnNetwork;
+use crate::process::NetworkProcess;
 use crate::sampling::{ForwardSampler, Sampler};
 use crate::{params, process};
 
@@ -108,3 +112,38 @@ pub fn trajectory_generator<T: process::NetworkProcess>(
     //Return a dataset object with the sampled trajectories.
     Dataset::new(trajectories)
 }
+
+pub struct StructureGen {
+    density: f64,
+    rng: ChaCha8Rng,
+}
+
+impl StructureGen {
+    pub fn new(density: f64, seed: Option<u64>) -> StructureGen {
+        if density < 0.0 || density > 1.0 {
+            panic!(
+                "Density value must be between 1.0 and 0.0, got {}.",
+                density
+            );
+        }
+        let rng: ChaCha8Rng = match seed {
+            Some(seed) => SeedableRng::seed_from_u64(seed),
+            None => SeedableRng::from_entropy(),
+        };
+        StructureGen { density, rng }
+    }
+
+    pub fn gen_structure<'a>(&'a mut self, net: &'a mut CtbnNetwork) -> &CtbnNetwork {
+        let last_node_idx = net.get_node_indices().len();
+        for parent in 0..last_node_idx {
+            for child in 0..last_node_idx {
+                if parent != child {
+                    if self.rng.gen_bool(self.density) {
+                        net.add_edge(parent, child);
+                    }
+                }
+            }
+        }
+        net
+    }
+}
diff --git a/reCTBN/tests/tools.rs b/reCTBN/tests/tools.rs
index 806faef..ac64f8d 100644
--- a/reCTBN/tests/tools.rs
+++ b/reCTBN/tests/tools.rs
@@ -82,3 +82,43 @@ fn dataset_wrong_shape() {
     let t2 = Trajectory::new(time, events);
     Dataset::new(vec![t1, t2]);
 }
+
+#[test]
+#[should_panic]
+fn structure_gen_wrong_density() {
+    let density = 2.1;
+    StructureGen::new(density, None);
+}
+
+#[test]
+fn structure_gen_right_densities() {
+    for density in [1.0, 0.75, 0.5, 0.25, 0.0] {
+        StructureGen::new(density, None);
+    }
+}
+
+#[test]
+fn structure_gen_gen_structure() {
+    let mut net = CtbnNetwork::new();
+    for node_label in 0..100 {
+        net.add_node(
+            utils::generate_discrete_time_continous_node(
+                node_label.to_string(),
+                2,
+            )
+        ).unwrap();
+    }
+    let density = 1.0/3.0;
+    let mut structure_generator = StructureGen::new(density, Some(7641630759785120));
+    structure_generator.gen_structure(&mut net);
+    let mut edges = 0;
+    for node in net.get_node_indices(){
+        edges += net.get_children_set(node).len()
+    }
+    let nodes = net.get_node_indices().len() as f64;
+    let expected_edges = (density * nodes * (nodes - 1.0)).round() as usize;
+    let tolerance = ((expected_edges as f64)/100.0*5.0) as usize; // ±5% of tolerance
+    // As the way `gen_structure()` is implemented we can only reasonably
+    // expect the number of edges to be somewhere around the expected value.
+    assert!((expected_edges - tolerance) < edges && edges < (expected_edges + tolerance));
+}