diff --git a/core/graph_manager.py b/core/graph_manager.py
index 3dd03b1..297f811 100644
--- a/core/graph_manager.py
+++ b/core/graph_manager.py
@@ -131,7 +131,7 @@ class GraphManager:
         return all_correlations
 
     def add_node(self, node_id: str, node_type: NodeType, attributes: Optional[Dict[str, Any]] = None,
-                 description: str = "", metadata: Optional[Dict[str, Any]] = None) -> bool:
+                description: str = "", metadata: Optional[Dict[str, Any]] = None) -> bool:
         """Add a node to the graph, update attributes, and process correlations."""
         is_new_node = not self.graph.has_node(node_id)
         if is_new_node:
@@ -157,51 +157,162 @@ class GraphManager:
             correlations = self._check_for_correlations(node_id, attributes)
             for corr in correlations:
                 value = corr['value']
-
-                found_major_node_id = None
-                if isinstance(value, str):
-                    # Check if the value contains ANY existing major node ID from the entire graph
-                    for existing_node in self.graph.nodes():
-                        # Ensure the existing_node is a major type (domain/ip/asn) and is a substring of the correlation value
-                        if (self.graph.nodes[existing_node].get('type') in [NodeType.DOMAIN.value, NodeType.IP.value, NodeType.ASN.value] and
-                                existing_node in value):
-                            found_major_node_id = existing_node
-                            break  # Found a major node, no need to check further
-
-                if found_major_node_id:
-                    # An existing major node is part of the value; link to it directly.
-                    for c_node_id in set(corr['nodes']):
-                        if self.graph.has_node(c_node_id) and c_node_id != found_major_node_id:
+                
+                # STEP 1: Substring check against all existing nodes
+                if self._correlation_value_matches_existing_node(value):
+                    # Skip creating correlation node - would be redundant
+                    continue
+                
+                # STEP 2: Filter out node pairs that already have direct edges
+                eligible_nodes = self._filter_nodes_without_direct_edges(set(corr['nodes']))
+                
+                if len(eligible_nodes) < 2:
+                    # Need at least 2 nodes to create a correlation
+                    continue
+                    
+                # STEP 3: Check for existing correlation node with same connection pattern
+                correlation_nodes_with_pattern = self._find_correlation_nodes_with_same_pattern(eligible_nodes)
+                
+                if correlation_nodes_with_pattern:
+                    # STEP 4: Merge with existing correlation node
+                    target_correlation_node = correlation_nodes_with_pattern[0]
+                    self._merge_correlation_values(target_correlation_node, value, corr)
+                else:
+                    # STEP 5: Create new correlation node for eligible nodes only
+                    correlation_node_id = f"corr_{abs(hash(str(sorted(eligible_nodes))))}"
+                    self.add_node(correlation_node_id, NodeType.CORRELATION_OBJECT,
+                                metadata={'values': [value], 'sources': corr['sources'],
+                                            'correlated_nodes': list(eligible_nodes)})
+                    
+                    # Create edges from eligible nodes to this correlation node
+                    for c_node_id in eligible_nodes:
+                        if self.graph.has_node(c_node_id):
                             attribute = corr['sources'][0]['path'].split('.')[-1]
                             relationship_type = f"c_{attribute}"
-                            self.add_edge(c_node_id, found_major_node_id, relationship_type, confidence_score=0.9)
-                    continue # Skip creating a redundant correlation node
-
-                # Proceed to create a new correlation node if no major node was found.
-                correlation_node_id = f"{value}"
-                if not self.graph.has_node(correlation_node_id):
-                    self.add_node(correlation_node_id, NodeType.CORRELATION_OBJECT,
-                                  metadata={'value': value, 'sources': corr['sources'],
-                                            'correlated_nodes': list(set(corr['nodes']))})
-                else: # Update existing correlation node
-                    existing_meta = self.graph.nodes[correlation_node_id]['metadata']
-                    existing_nodes = set(existing_meta.get('correlated_nodes', []))
-                    existing_meta['correlated_nodes'] = list(existing_nodes.union(set(corr['nodes'])))
-                    existing_sources = {(s['node_id'], s['path']) for s in existing_meta.get('sources', [])}
-                    for s in corr['sources']:
-                        existing_sources.add((s['node_id'], s['path']))
-                    existing_meta['sources'] = [{'node_id': nid, 'path': p} for nid, p in existing_sources]
-
-                for c_node_id in set(corr['nodes']):
-                    attribute = corr['sources'][0]['path'].split('.')[-1]
-                    relationship_type = f"c_{attribute}"
-                    self.add_edge(c_node_id, correlation_node_id, relationship_type, confidence_score=0.9)
+                            self.add_edge(c_node_id, correlation_node_id, relationship_type, confidence_score=0.9)
 
             self._update_correlation_index(node_id, attributes)
 
         self.last_modified = datetime.now(timezone.utc).isoformat()
         return is_new_node
 
+    def _filter_nodes_without_direct_edges(self, node_set: set) -> set:
+        """
+        Filter out nodes that already have direct edges between them.
+        Returns set of nodes that should be included in correlation.
+        """
+        nodes_list = list(node_set)
+        eligible_nodes = set(node_set)  # Start with all nodes
+        
+        # Check all pairs of nodes
+        for i in range(len(nodes_list)):
+            for j in range(i + 1, len(nodes_list)):
+                node_a = nodes_list[i]
+                node_b = nodes_list[j]
+                
+                # Check if direct edge exists in either direction
+                if self._has_direct_edge_bidirectional(node_a, node_b):
+                    # Remove both nodes from eligible set since they're already connected
+                    eligible_nodes.discard(node_a)
+                    eligible_nodes.discard(node_b)
+        
+        return eligible_nodes
+
+    def _has_direct_edge_bidirectional(self, node_a: str, node_b: str) -> bool:
+        """
+        Check if there's a direct edge between two nodes in either direction.
+        Returns True if node_a→node_b OR node_b→node_a exists.
+        """
+        return (self.graph.has_edge(node_a, node_b) or 
+                self.graph.has_edge(node_b, node_a))
+
+    def _correlation_value_matches_existing_node(self, correlation_value: str) -> bool:
+        """
+        Check if correlation value contains any existing node ID as substring.
+        Returns True if match found (correlation node should NOT be created).
+        """
+        correlation_str = str(correlation_value).lower()
+        
+        # Check against all existing nodes
+        for existing_node_id in self.graph.nodes():
+            if existing_node_id.lower() in correlation_str:
+                return True
+        
+        return False
+
+    def _find_correlation_nodes_with_same_pattern(self, node_set: set) -> List[str]:
+        """
+        Find existing correlation nodes that have the exact same pattern of connected nodes.
+        Returns list of correlation node IDs with matching patterns.
+        """
+        correlation_nodes = self.get_nodes_by_type(NodeType.CORRELATION_OBJECT)
+        matching_nodes = []
+        
+        for corr_node_id in correlation_nodes:
+            # Get all nodes connected to this correlation node
+            connected_nodes = set()
+            
+            # Add all predecessors (nodes pointing TO the correlation node)
+            connected_nodes.update(self.graph.predecessors(corr_node_id))
+            
+            # Add all successors (nodes pointed TO by the correlation node)  
+            connected_nodes.update(self.graph.successors(corr_node_id))
+            
+            # Check if the pattern matches exactly
+            if connected_nodes == node_set:
+                matching_nodes.append(corr_node_id)
+        
+        return matching_nodes
+
+    def _merge_correlation_values(self, target_node_id: str, new_value: Any, corr_data: Dict) -> None:
+        """
+        Merge a new correlation value into an existing correlation node.
+        Uses same logic as large entity merging.
+        """
+        if not self.graph.has_node(target_node_id):
+            return
+            
+        target_metadata = self.graph.nodes[target_node_id]['metadata']
+        
+        # Get existing values (ensure it's a list)
+        existing_values = target_metadata.get('values', [])
+        if not isinstance(existing_values, list):
+            existing_values = [existing_values]
+        
+        # Add new value if not already present
+        if new_value not in existing_values:
+            existing_values.append(new_value)
+            
+        # Merge sources
+        existing_sources = target_metadata.get('sources', [])
+        new_sources = corr_data.get('sources', [])
+        
+        # Create set of unique sources based on (node_id, path) tuples
+        source_set = set()
+        for source in existing_sources + new_sources:
+            source_tuple = (source['node_id'], source['path'])
+            source_set.add(source_tuple)
+        
+        # Convert back to list of dictionaries
+        merged_sources = [{'node_id': nid, 'path': path} for nid, path in source_set]
+        
+        # Update metadata
+        target_metadata.update({
+            'values': existing_values,
+            'sources': merged_sources,
+            'correlated_nodes': list(set(target_metadata.get('correlated_nodes', []) + corr_data.get('nodes', []))),
+            'merge_count': len(existing_values),
+            'last_merge_timestamp': datetime.now(timezone.utc).isoformat()
+        })
+        
+        # Update description to reflect merged nature
+        value_count = len(existing_values)
+        node_count = len(target_metadata['correlated_nodes'])
+        self.graph.nodes[target_node_id]['description'] = (
+            f"Correlation container with {value_count} merged values "
+            f"across {node_count} nodes"
+        )
+        
     def add_edge(self, source_id: str, target_id: str, relationship_type: str,
                  confidence_score: float = 0.5, source_provider: str = "unknown",
                  raw_data: Optional[Dict[str, Any]] = None) -> bool:
diff --git a/static/css/main.css b/static/css/main.css
index 95d0529..2107b7a 100644
--- a/static/css/main.css
+++ b/static/css/main.css
@@ -1000,6 +1000,46 @@ input[type="text"]:focus, select:focus {
     font-style: italic;
 }
 
+.correlation-values-list {
+    margin-top: 1rem;
+}
+
+.correlation-value-details {
+    margin-bottom: 0.5rem;
+    border: 1px solid #333;
+    border-radius: 3px;
+}
+
+.correlation-value-details summary {
+    padding: 0.5rem;
+    background-color: #3a3a3a;
+    cursor: pointer;
+    outline: none;
+    color: #c7c7c7;
+}
+
+.correlation-value-details summary:hover {
+    background-color: #4a4a4a;
+}
+
+.correlation-value-details .detail-row {
+    margin-left: 1rem;
+    margin-right: 1rem;
+    padding: 0.5rem 0;
+}
+
+.correlation-value-details .detail-label {
+    color: #999;
+    font-weight: 500;
+}
+
+.correlation-value-details .detail-value {
+    color: #c7c7c7;
+    word-break: break-all;
+    font-family: 'Roboto Mono', monospace;
+    font-size: 0.9em;
+}
+
 @keyframes fadeIn {
     from {opacity: 0; transform: scale(0.95);}
     to {opacity: 1; transform: scale(1);}
diff --git a/static/js/graph.js b/static/js/graph.js
index 423b1ee..2c8e183 100644
--- a/static/js/graph.js
+++ b/static/js/graph.js
@@ -365,11 +365,24 @@ class GraphManager {
             }
         }
         
+        // Handle merged correlation objects (similar to large entities)
         if (node.type === 'correlation_object') {
-            const value = node.metadata.value;
-            const label = Array.isArray(value) ? `Correlated (${value.length})` : String(value);
-            processedNode.label = this.formatNodeLabel(label, node.type);
-            processedNode.title = Array.isArray(value) ? value.join(', ') : value;
+            const metadata = node.metadata || {};
+            const values = metadata.values || [];
+            const mergeCount = metadata.merge_count || 1;
+            
+            if (mergeCount > 1) {
+                // Display as merged correlation container
+                processedNode.label = `Correlations (${mergeCount})`;
+                processedNode.title = `Merged correlation container with ${mergeCount} values: ${values.slice(0, 3).join(', ')}${values.length > 3 ? '...' : ''}`;
+                processedNode.borderWidth = 3; // Thicker border for merged nodes
+            } else {
+                // Single correlation value
+                const value = Array.isArray(values) && values.length > 0 ? values[0] : (metadata.value || 'Unknown');
+                const displayValue = typeof value === 'string' && value.length > 20 ? value.substring(0, 17) + '...' : value;
+                processedNode.label = `Corr: ${displayValue}`;
+                processedNode.title = `Correlation: ${value}`;
+            }
         }
 
         return processedNode;
diff --git a/static/js/main.js b/static/js/main.js
index ccb8359..b2a8594 100644
--- a/static/js/main.js
+++ b/static/js/main.js
@@ -799,10 +799,51 @@ class DNSReconApp {
      */
     generateNodeDetailsHtml(node) {
         if (!node) return '<div class="detail-row"><span class="detail-value">Details not available.</span></div>';
-    
+
         let detailsHtml = '<div class="modal-details-grid">';
 
-                // Section for Incoming Edges (Source Nodes)
+        // Handle merged correlation objects similar to large entities
+        if (node.type === 'correlation_object') {
+            const metadata = node.metadata || {};
+            const values = metadata.values || [];
+            const mergeCount = metadata.merge_count || 1;
+            
+            detailsHtml += '<div class="modal-section">';
+            detailsHtml += '<h4>Correlation Details</h4>';
+            
+            if (mergeCount > 1) {
+                detailsHtml += `<p><strong>Merged Correlations:</strong> ${mergeCount} values</p>`;
+                detailsHtml += '<div class="correlation-values-list">';
+                
+                values.forEach((value, index) => {
+                    detailsHtml += `<details class="correlation-value-details">`;
+                    detailsHtml += `<summary>Value ${index + 1}: ${typeof value === 'string' && value.length > 50 ? value.substring(0, 47) + '...' : value}</summary>`;
+                    detailsHtml += `<div class="detail-row"><span class="detail-label">Full Value:</span><span class="detail-value">${value}</span></div>`;
+                    detailsHtml += `</details>`;
+                });
+                
+                detailsHtml += '</div>';
+            } else {
+                const singleValue = values.length > 0 ? values[0] : (metadata.value || 'Unknown');
+                detailsHtml += `<div class="detail-row"><span class="detail-label">Correlation Value:</span><span class="detail-value">${singleValue}</span></div>`;
+            }
+            
+            // Show correlated nodes
+            const correlatedNodes = metadata.correlated_nodes || [];
+            if (correlatedNodes.length > 0) {
+                detailsHtml += `<div class="detail-row"><span class="detail-label">Correlated Nodes:</span><span class="detail-value">${correlatedNodes.length}</span></div>`;
+                detailsHtml += '<ul>';
+                correlatedNodes.forEach(nodeId => {
+                    detailsHtml += `<li><a href="#" class="node-link" data-node-id="${nodeId}">${nodeId}</a></li>`;
+                });
+                detailsHtml += '</ul>';
+            }
+            
+            detailsHtml += '</div>';
+        }
+
+        // Continue with standard node details for all node types
+        // Section for Incoming Edges (Source Nodes)
         if (node.incoming_edges && node.incoming_edges.length > 0) {
             detailsHtml += '<div class="modal-section">';
             detailsHtml += '<h4>Source Nodes (Incoming)</h4>';
@@ -812,7 +853,7 @@ class DNSReconApp {
             });
             detailsHtml += '</ul></div>';
         }
-    
+
         // Section for Outgoing Edges (Destination Nodes)
         if (node.outgoing_edges && node.outgoing_edges.length > 0) {
             detailsHtml += '<div class="modal-section">';
@@ -824,24 +865,28 @@ class DNSReconApp {
             detailsHtml += '</ul></div>';
         }
 
-        // Section for Attributes
-        detailsHtml += '<div class="modal-section">';
-        detailsHtml += '<h4>Attributes</h4>';
-        detailsHtml += this.formatObjectToHtml(node.attributes);
-        detailsHtml += '</div>';
-    
+        // Section for Attributes (skip for correlation objects - already handled above)
+        if (node.type !== 'correlation_object') {
+            detailsHtml += '<div class="modal-section">';
+            detailsHtml += '<h4>Attributes</h4>';
+            detailsHtml += this.formatObjectToHtml(node.attributes);
+            detailsHtml += '</div>';
+        }
+
         // Section for Description
         detailsHtml += '<div class="modal-section">';
         detailsHtml += '<h4>Description</h4>';
         detailsHtml += `<p class="description-text">${node.description || 'No description available.'}</p>`;
         detailsHtml += '</div>';
-    
-        // Section for Metadata
-        detailsHtml += '<div class="modal-section">';
-        detailsHtml += '<h4>Metadata</h4>';
-        detailsHtml += this.formatObjectToHtml(node.metadata);
-        detailsHtml += '</div>';
-    
+
+        // Section for Metadata (skip detailed metadata for correlation objects - already handled above)
+        if (node.type !== 'correlation_object') {
+            detailsHtml += '<div class="modal-section">';
+            detailsHtml += '<h4>Metadata</h4>';
+            detailsHtml += this.formatObjectToHtml(node.metadata);
+            detailsHtml += '</div>';
+        }
+
         detailsHtml += '</div>';
         return detailsHtml;
     }