frontend/src/components/UserStats.tsx

@@ -1,3 +1,4 @@
+import { useEffect, useMemo, useRef, useState } from "react";
 import ForceGraph3D from "react-force-graph-3d";
 
 import {
@@ -6,12 +7,19 @@ import {
 } from '../types/ApiTypes';
 
 import StatsStyling from "../styles/stats_styling";
+import Card from "./Card";
 
 const styles = StatsStyling;
 
+type GraphLink = {
+    source: string;
+    target: string;
+    value: number;
+};
+
 function ApiToGraphData(apiData: InteractionGraph) {
     const nodes = Object.keys(apiData).map(username => ({ id: username }));
-    const links = [];
+    const links: GraphLink[] = [];
     
     for (const [source, targets] of Object.entries(apiData)) {
         for (const [target, count] of Object.entries(targets)) {
@@ -35,26 +43,105 @@ function ApiToGraphData(apiData: InteractionGraph) {
 
 
 const UserStats = (props: { data: UserAnalysisResponse }) => {
-  const graphData = ApiToGraphData(props.data.interaction_graph);
+  const graphData = useMemo(() => ApiToGraphData(props.data.interaction_graph), [props.data.interaction_graph]);
+  const graphContainerRef = useRef<HTMLDivElement | null>(null);
+  const [graphSize, setGraphSize] = useState({ width: 720, height: 540 });
+
+  useEffect(() => {
+    const updateGraphSize = () => {
+      const containerWidth = graphContainerRef.current?.clientWidth ?? 720;
+      const nextWidth = Math.max(320, Math.floor(containerWidth));
+      const nextHeight = nextWidth < 700 ? 300 : 540;
+      setGraphSize({ width: nextWidth, height: nextHeight });
+    };
+
+    updateGraphSize();
+    window.addEventListener("resize", updateGraphSize);
+
+    return () => window.removeEventListener("resize", updateGraphSize);
+  }, []);
+
+  const totalUsers = props.data.users.length;
+  const connectedUsers = graphData.nodes.length;
+  const totalInteractions = graphData.links.reduce((sum, link) => sum + link.value, 0);
+  const avgInteractionsPerConnectedUser = connectedUsers ? totalInteractions / connectedUsers : 0;
+
+  const strongestLink = graphData.links.reduce<GraphLink | null>((best, current) => {
+    if (!best || current.value > best.value) {
+      return current;
+    }
+    return best;
+  }, null);
+
+  const highlyInteractiveUser = [...props.data.users].sort((a, b) => b.comment_share - a.comment_share)[0];
+
+  const mostActiveUser = props.data.top_users.find(u => u.author !== "[deleted]");
 
   return (
     <div style={styles.page}>
+        <div style={{ ...styles.container, ...styles.grid }}>
+          <Card
+            label="Users"
+            value={totalUsers.toLocaleString()}
+            sublabel={`${connectedUsers.toLocaleString()} users in filtered graph`}
+            style={{ gridColumn: "span 3" }}
+          />
+          <Card
+            label="Interactions"
+            value={totalInteractions.toLocaleString()}
+            sublabel="Filtered links (2+ interactions)"
+            style={{ gridColumn: "span 3" }}
+          />
+          <Card
+            label="Average Intensity"
+            value={avgInteractionsPerConnectedUser.toFixed(1)}
+            sublabel="Interactions per connected user"
+            style={{ gridColumn: "span 3" }}
+          />
+          <Card
+            label="Most Active User"
+            value={mostActiveUser?.author ?? "—"}
+            sublabel={mostActiveUser ? `${mostActiveUser.count.toLocaleString()} events` : "No user activity found"}
+            style={{ gridColumn: "span 3" }}
+          />
+
+          <Card
+            label="Strongest Connection"
+            value={strongestLink ? `${strongestLink.source} -> ${strongestLink.target}` : "—"}
+            sublabel={strongestLink ? `${strongestLink.value.toLocaleString()} interactions` : "No graph edges after filtering"}
+            style={{ gridColumn: "span 6" }}
+          />
+          <Card
+            label="Most Reply-Driven User"
+            value={highlyInteractiveUser?.author ?? "—"}
+            sublabel={
+              highlyInteractiveUser
+                ? `${Math.round(highlyInteractiveUser.comment_share * 100)}% comments`
+                : "No user distribution available"
+            }
+            style={{ gridColumn: "span 6" }}
+          />
+
+          <div style={{ ...styles.card, gridColumn: "span 12" }}>
             <h2 style={styles.sectionTitle}>User Interaction Graph</h2>
             <p style={styles.sectionSubtitle}>
-            This graph visualizes interactions between users based on comments and replies. 
-            Nodes represent users, and edges represent interactions (e.g., comments or replies) between them.
+              Nodes represent users and links represent conversation interactions.
             </p>
-        <div>
+            <div ref={graphContainerRef} style={{ width: "100%", height: graphSize.height }}>
               <ForceGraph3D
+                width={graphSize.width}
+                height={graphSize.height}
                 graphData={graphData}
                 nodeAutoColorBy="id"
-                linkDirectionalParticles={2}
-                linkDirectionalParticleSpeed={0.005}
-                linkWidth={(link) => Math.sqrt(link.value)}
+                linkDirectionalParticles={1}
+                linkDirectionalParticleSpeed={0.004}
+                linkWidth={(link) => Math.sqrt(Number(link.value))}
                 nodeLabel={(node) => `${node.id}`}
               />
             </div>
           </div>
+        </div>
+    </div>
   );
 }
 

frontend/src/pages/Stats.tsx

@@ -4,7 +4,7 @@ import { useParams } from "react-router-dom";
 import StatsStyling from "../styles/stats_styling";
 import SummaryStats from "../components/SummaryStats";
 import EmotionalStats from "../components/EmotionalStats";
-import InteractionStats from "../components/UserStats";
+import UserStats from "../components/UserStats";
 
 import { 
   type SummaryResponse, 
@@ -20,7 +20,7 @@ const StatPage = () => {
   const { datasetId: routeDatasetId } = useParams<{ datasetId: string }>();
   const [error, setError] = useState('');
   const [loading, setLoading] = useState(false);
-  const [activeView, setActiveView] = useState<"summary" | "emotional" | "interaction">("summary");
+  const [activeView, setActiveView] = useState<"summary" | "emotional" | "user">("summary");
 
   const [userData, setUserData] = useState<UserAnalysisResponse | null>(null);
   const [timeData, setTimeData] = useState<TimeAnalysisResponse | null>(null);
@@ -139,7 +139,7 @@ const StatPage = () => {
   if (loading) {
     return (
       <div style={styles.loadingPage}>
-        <div style={styles.loadingCard}>
+        <div style={{ ...styles.loadingCard, transform: "translateY(-100px)" }}>
           <div style={styles.loadingHeader}>
             <div style={styles.loadingSpinner} />
             <div>
@@ -213,10 +213,10 @@ return (
       </button>
 
       <button
-        onClick={() => setActiveView("interaction")}
-        style={activeView === "interaction" ? styles.buttonPrimary : styles.buttonSecondary}
+        onClick={() => setActiveView("user")}
+        style={activeView === "user" ? styles.buttonPrimary : styles.buttonSecondary}
       >
-        Interaction
+        Users
       </button>
     </div>
 
@@ -239,8 +239,8 @@ return (
       </div>
     )}
 
-    {activeView === "interaction" && userData && (
-      <InteractionStats data={userData} />
+    {activeView === "user" && userData && (
+      <UserStats data={userData} />
     )}
 
   </div>

server/queue/tasks.py

@@ -2,17 +2,15 @@ import pandas as pd
 
 from server.queue.celery_app import celery
 from server.analysis.enrichment import DatasetEnrichment
+from server.db.database import PostgresConnector
+from server.core.datasets import DatasetManager
 
 @celery.task(bind=True, max_retries=3)
 def process_dataset(self, dataset_id: int, posts: list, topics: dict):
-
-    try:
-        from server.db.database import PostgresConnector
-        from server.core.datasets import DatasetManager
-
     db = PostgresConnector()
     dataset_manager = DatasetManager(db)
 
+    try:
         df = pd.DataFrame(posts)
 
         processor = DatasetEnrichment(df, topics)