feat!(frontend): add cultural, interactional and linguistic stat pages

Remove old `initiator_ratio` metric which wasn't working due every event having a `reply_to` value.

This metric was suggested by AI, and is a surprisingly interesting one that gave interesting insights.

frontend/src/components/CulturalStats.tsx

@@ -0,0 +1,119 @@
+import Card from "./Card";
+import StatsStyling from "../styles/stats_styling";
+import type { CulturalAnalysisResponse } from "../types/ApiTypes";
+
+const styles = StatsStyling;
+
+type CulturalStatsProps = {
+  data: CulturalAnalysisResponse;
+};
+
+const CulturalStats = ({ data }: CulturalStatsProps) => {
+  const identity = data.identity_markers;
+  const stance = data.stance_markers;
+  const rawEntities = data.avg_emotion_per_entity?.entity_emotion_avg ?? {};
+  const entities = Object.entries(rawEntities)
+    .sort((a, b) => (b[1].post_count - a[1].post_count))
+    .slice(0, 20);
+
+  const topEmotion = (emotionAvg: Record<string, number> | undefined) => {
+    const entries = Object.entries(emotionAvg ?? {});
+    if (!entries.length) {
+      return "—";
+    }
+
+    entries.sort((a, b) => b[1] - a[1]);
+    const dominant = entries[0] ?? ["emotion_unknown", 0];
+    const dominantLabel = dominant[0].replace("emotion_", "");
+    return `${dominantLabel} (${dominant[1].toFixed(3)})`;
+  };
+
+  return (
+    <div style={styles.page}>
+      <div style={{ ...styles.container, ...styles.grid }}>
+        <Card
+          label="In-Group Usage"
+          value={identity?.in_group_usage?.toLocaleString() ?? "—"}
+          sublabel="we/us/our references"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Out-Group Usage"
+          value={identity?.out_group_usage?.toLocaleString() ?? "—"}
+          sublabel="they/them/their references"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="In-Group Posts"
+          value={identity?.in_group_posts?.toLocaleString() ?? "—"}
+          sublabel="Posts with stronger in-group language"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Out-Group Posts"
+          value={identity?.out_group_posts?.toLocaleString() ?? "—"}
+          sublabel="Posts with stronger out-group language"
+          style={{ gridColumn: "span 3" }}
+        />
+
+        <Card
+          label="Hedge Markers"
+          value={stance?.hedge_total?.toLocaleString() ?? "—"}
+          sublabel={typeof stance?.hedge_per_1k_tokens === "number" ? `${stance.hedge_per_1k_tokens.toFixed(3)} per 1k tokens` : "Marker frequency"}
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Certainty Markers"
+          value={stance?.certainty_total?.toLocaleString() ?? "—"}
+          sublabel={typeof stance?.certainty_per_1k_tokens === "number" ? `${stance.certainty_per_1k_tokens.toFixed(3)} per 1k tokens` : "Marker frequency"}
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Deontic Markers"
+          value={stance?.deontic_total?.toLocaleString() ?? "—"}
+          sublabel={typeof stance?.deontic_per_1k_tokens === "number" ? `${stance.deontic_per_1k_tokens.toFixed(3)} per 1k tokens` : "Marker frequency"}
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Permission Markers"
+          value={stance?.permission_total?.toLocaleString() ?? "—"}
+          sublabel={typeof stance?.permission_per_1k_tokens === "number" ? `${stance.permission_per_1k_tokens.toFixed(3)} per 1k tokens` : "Marker frequency"}
+          style={{ gridColumn: "span 3" }}
+        />
+
+        <div style={{ ...styles.card, gridColumn: "span 6" }}>
+          <h2 style={styles.sectionTitle}>In-Group Emotion Profile</h2>
+          <p style={styles.sectionSubtitle}>Dominant average emotion where in-group framing is stronger.</p>
+          <div style={styles.topUserName}>{topEmotion(identity?.in_group_emotion_avg)}</div>
+        </div>
+
+        <div style={{ ...styles.card, gridColumn: "span 6" }}>
+          <h2 style={styles.sectionTitle}>Out-Group Emotion Profile</h2>
+          <p style={styles.sectionSubtitle}>Dominant average emotion where out-group framing is stronger.</p>
+          <div style={styles.topUserName}>{topEmotion(identity?.out_group_emotion_avg)}</div>
+        </div>
+
+        <div style={{ ...styles.card, gridColumn: "span 12" }}>
+          <h2 style={styles.sectionTitle}>Entity Emotion Averages</h2>
+          <p style={styles.sectionSubtitle}>Most frequent entities and their dominant average emotion signature.</p>
+          {!entities.length ? (
+            <div style={styles.topUserMeta}>No entity-level cultural data available.</div>
+          ) : (
+            <div style={{ ...styles.topUsersList, maxHeight: 420, overflowY: "auto" }}>
+              {entities.map(([entity, aggregate]) => (
+                <div key={entity} style={styles.topUserItem}>
+                  <div style={styles.topUserName}>{entity}</div>
+                  <div style={styles.topUserMeta}>
+                    {aggregate.post_count.toLocaleString()} posts • Dominant emotion: {topEmotion(aggregate.emotion_avg)}
+                  </div>
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default CulturalStats;

frontend/src/components/InteractionalStats.tsx

@@ -0,0 +1,198 @@
+import Card from "./Card";
+import StatsStyling from "../styles/stats_styling";
+import type { InteractionAnalysisResponse } from "../types/ApiTypes";
+import {
+  ResponsiveContainer,
+  BarChart,
+  Bar,
+  XAxis,
+  YAxis,
+  CartesianGrid,
+  Tooltip,
+  PieChart,
+  Pie,
+  Cell,
+  Legend,
+} from "recharts";
+
+const styles = StatsStyling;
+
+type InteractionalStatsProps = {
+  data: InteractionAnalysisResponse;
+};
+
+const InteractionalStats = ({ data }: InteractionalStatsProps) => {
+  const graph = data.interaction_graph ?? {};
+  const userCount = Object.keys(graph).length;
+  const edges = Object.values(graph).flatMap((targets) => Object.values(targets));
+  const edgeCount = edges.length;
+  const interactionVolume = edges.reduce((sum, value) => sum + value, 0);
+  const concentration = data.conversation_concentration;
+  const topTenCommentShare = typeof concentration?.top_10pct_comment_share === "number"
+    ? concentration?.top_10pct_comment_share
+    : null;
+  const topTenAuthorCount = typeof concentration?.top_10pct_author_count === "number"
+    ? concentration.top_10pct_author_count
+    : null;
+  const totalCommentingAuthors = typeof concentration?.total_commenting_authors === "number"
+    ? concentration.total_commenting_authors
+    : null;
+  const singleCommentAuthorRatio = typeof concentration?.single_comment_author_ratio === "number"
+    ? concentration.single_comment_author_ratio
+    : null;
+
+  const topPairs = (data.top_interaction_pairs ?? [])
+    .filter((item): item is [[string, string], number] => {
+      if (!Array.isArray(item) || item.length !== 2) {
+        return false;
+      }
+
+      const pair = item[0];
+      const count = item[1];
+
+      return Array.isArray(pair)
+        && pair.length === 2
+        && typeof pair[0] === "string"
+        && typeof pair[1] === "string"
+        && typeof count === "number";
+    })
+    .slice(0, 20);
+
+  const topPairChartData = topPairs.slice(0, 8).map(([[source, target], value], index) => ({
+    pair: `${source} -> ${target}`,
+    replies: value,
+    rank: index + 1,
+  }));
+
+  const topTenSharePercent = topTenCommentShare === null
+    ? null
+    : topTenCommentShare * 100;
+  const nonTopTenSharePercent = topTenSharePercent === null
+    ? null
+    : Math.max(0, 100 - topTenSharePercent);
+
+  let concentrationPieData: { name: string; value: number }[] = [];
+  if (topTenSharePercent !== null && nonTopTenSharePercent !== null) {
+    concentrationPieData = [
+      { name: "Top 10% authors", value: topTenSharePercent },
+      { name: "Other authors", value: nonTopTenSharePercent },
+    ];
+  }
+
+  const PIE_COLORS = ["#2b6777", "#c8d8e4"];
+
+  return (
+    <div style={styles.page}>
+      <div style={{ ...styles.container, ...styles.grid }}>
+        <Card
+          label="Avg Thread Depth"
+          value={typeof data.average_thread_depth === "number" ? data.average_thread_depth.toFixed(2) : "—"}
+          sublabel="Depth from reply chains"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Network Users"
+          value={userCount.toLocaleString()}
+          sublabel="Authors in interaction graph"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Unique Links"
+          value={edgeCount.toLocaleString()}
+          sublabel="Directed source-target pairs"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Interaction Volume"
+          value={interactionVolume.toLocaleString()}
+          sublabel="Sum of link weights"
+          style={{ gridColumn: "span 3" }}
+        />
+        <Card
+          label="Top 10% Comment Share"
+          value={topTenSharePercent === null ? "-" : `${topTenSharePercent.toFixed(1)}%`}
+          sublabel={topTenAuthorCount === null || totalCommentingAuthors === null
+            ? "Comment volume held by top commenters"
+            : `${topTenAuthorCount.toLocaleString()} of ${totalCommentingAuthors.toLocaleString()} authors`}
+          style={{ gridColumn: "span 6" }}
+        />
+        <Card
+          label="Single-Comment Authors"
+          value={singleCommentAuthorRatio === null ? "-" : `${(singleCommentAuthorRatio * 100).toFixed(1)}%`}
+          sublabel="Authors who commented exactly once"
+          style={{ gridColumn: "span 6" }}
+        />
+
+        <div style={{ ...styles.card, gridColumn: "span 12" }}>
+          <h2 style={styles.sectionTitle}>Interaction Visuals</h2>
+          <p style={styles.sectionSubtitle}>Quick charts for interaction direction and conversation concentration.</p>
+
+          <div style={{ ...styles.grid, marginTop: 12 }}>
+            <div style={{ ...styles.cardBase, gridColumn: "span 6" }}>
+              <h3 style={{ ...styles.sectionTitle, fontSize: "1rem" }}>Top Interaction Pairs</h3>
+              <div style={{ width: "100%", height: 300 }}>
+                <ResponsiveContainer>
+                  <BarChart data={topPairChartData} layout="vertical" margin={{ top: 8, right: 16, left: 16, bottom: 8 }}>
+                    <CartesianGrid strokeDasharray="3 3" stroke="#d9e2ec" />
+                    <XAxis type="number" allowDecimals={false} />
+                    <YAxis
+                      type="category"
+                      dataKey="rank"
+                      tickFormatter={(value) => `#${value}`}
+                      width={36}
+                    />
+                    <Tooltip />
+                    <Bar dataKey="replies" fill="#2b6777" radius={[0, 6, 6, 0]} />
+                  </BarChart>
+                </ResponsiveContainer>
+              </div>
+            </div>
+
+            <div style={{ ...styles.cardBase, gridColumn: "span 6" }}>
+              <h3 style={{ ...styles.sectionTitle, fontSize: "1rem" }}>Top 10% vs Other Comment Share</h3>
+              <div style={{ width: "100%", height: 300 }}>
+                <ResponsiveContainer>
+                  <PieChart>
+                    <Pie
+                      data={concentrationPieData}
+                      dataKey="value"
+                      nameKey="name"
+                      innerRadius={56}
+                      outerRadius={88}
+                      paddingAngle={2}
+                    >
+                      {concentrationPieData.map((entry, index) => (
+                        <Cell key={`${entry.name}-${index}`} fill={PIE_COLORS[index % PIE_COLORS.length]} />
+                      ))}
+                    </Pie>
+                    <Tooltip />
+                    <Legend verticalAlign="bottom" height={36} />
+                  </PieChart>
+                </ResponsiveContainer>
+              </div>
+            </div>
+          </div>
+        </div>
+
+        <div style={{ ...styles.card, gridColumn: "span 12" }}>
+          <h2 style={styles.sectionTitle}>Top Interaction Pairs</h2>
+          <p style={styles.sectionSubtitle}>Most frequent directed reply paths between users.</p>
+          {!topPairs.length ? (
+            <div style={styles.topUserMeta}>No interaction pair data available.</div>
+          ) : (
+            <div style={{ ...styles.topUsersList, maxHeight: 420, overflowY: "auto" }}>
+              {topPairs.map(([[source, target], value], index) => (
+                <div key={`${source}->${target}-${index}`} style={styles.topUserItem}>
+                  <div style={styles.topUserName}>{source} -&gt; {target}</div>
+                  <div style={styles.topUserMeta}>{value.toLocaleString()} replies</div>
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default InteractionalStats;

frontend/src/components/LinguisticStats.tsx

@@ -0,0 +1,86 @@
+import Card from "./Card";
+import StatsStyling from "../styles/stats_styling";
+import type { LinguisticAnalysisResponse } from "../types/ApiTypes";
+
+const styles = StatsStyling;
+
+type LinguisticStatsProps = {
+  data: LinguisticAnalysisResponse;
+};
+
+const LinguisticStats = ({ data }: LinguisticStatsProps) => {
+  const lexical = data.lexical_diversity;
+  const words = data.word_frequencies ?? [];
+  const bigrams = data.common_two_phrases ?? [];
+  const trigrams = data.common_three_phrases ?? [];
+
+  const topWords = words.slice(0, 20);
+  const topBigrams = bigrams.slice(0, 10);
+  const topTrigrams = trigrams.slice(0, 10);
+
+  return (
+    <div style={styles.page}>
+      <div style={{ ...styles.container, ...styles.grid }}>
+        <Card
+          label="Total Tokens"
+          value={lexical?.total_tokens?.toLocaleString() ?? "—"}
+          sublabel="After token filtering"
+          style={{ gridColumn: "span 4" }}
+        />
+        <Card
+          label="Unique Tokens"
+          value={lexical?.unique_tokens?.toLocaleString() ?? "—"}
+          sublabel="Distinct vocabulary items"
+          style={{ gridColumn: "span 4" }}
+        />
+        <Card
+          label="Type-Token Ratio"
+          value={typeof lexical?.ttr === "number" ? lexical.ttr.toFixed(4) : "—"}
+          sublabel="Vocabulary richness proxy"
+          style={{ gridColumn: "span 4" }}
+        />
+
+        <div style={{ ...styles.card, gridColumn: "span 4" }}>
+          <h2 style={styles.sectionTitle}>Top Words</h2>
+          <p style={styles.sectionSubtitle}>Most frequent filtered terms.</p>
+          <div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
+            {topWords.map((item) => (
+              <div key={item.word} style={styles.topUserItem}>
+                <div style={styles.topUserName}>{item.word}</div>
+                <div style={styles.topUserMeta}>{item.count.toLocaleString()} uses</div>
+              </div>
+            ))}
+          </div>
+        </div>
+
+        <div style={{ ...styles.card, gridColumn: "span 4" }}>
+          <h2 style={styles.sectionTitle}>Top Bigrams</h2>
+          <p style={styles.sectionSubtitle}>Most frequent 2-word phrases.</p>
+          <div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
+            {topBigrams.map((item) => (
+              <div key={item.ngram} style={styles.topUserItem}>
+                <div style={styles.topUserName}>{item.ngram}</div>
+                <div style={styles.topUserMeta}>{item.count.toLocaleString()} uses</div>
+              </div>
+            ))}
+          </div>
+        </div>
+
+        <div style={{ ...styles.card, gridColumn: "span 4" }}>
+          <h2 style={styles.sectionTitle}>Top Trigrams</h2>
+          <p style={styles.sectionSubtitle}>Most frequent 3-word phrases.</p>
+          <div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
+            {topTrigrams.map((item) => (
+              <div key={item.ngram} style={styles.topUserItem}>
+                <div style={styles.topUserName}>{item.ngram}</div>
+                <div style={styles.topUserMeta}>{item.count.toLocaleString()} uses</div>
+              </div>
+            ))}
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default LinguisticStats;

frontend/src/pages/Stats.tsx

@@ -5,12 +5,20 @@ import StatsStyling from "../styles/stats_styling";
 import SummaryStats from "../components/SummaryStats";
 import EmotionalStats from "../components/EmotionalStats";
 import UserStats from "../components/UserStats";
+import LinguisticStats from "../components/LinguisticStats";
+import InteractionalStats from "../components/InteractionalStats";
+import CulturalStats from "../components/CulturalStats";
 
 import { 
   type SummaryResponse, 
   type UserAnalysisResponse, 
   type TimeAnalysisResponse,
-  type ContentAnalysisResponse
+  type ContentAnalysisResponse,
+  type UserEndpointResponse,
+  type LinguisticAnalysisResponse,
+  type EmotionalAnalysisResponse,
+  type InteractionAnalysisResponse,
+  type CulturalAnalysisResponse
 } from '../types/ApiTypes'
 
 const API_BASE_URL = import.meta.env.VITE_BACKEND_URL
@@ -20,11 +28,14 @@ const StatPage = () => {
   const { datasetId: routeDatasetId } = useParams<{ datasetId: string }>();
   const [error, setError] = useState('');
   const [loading, setLoading] = useState(false);
-  const [activeView, setActiveView] = useState<"summary" | "emotional" | "user">("summary");
+  const [activeView, setActiveView] = useState<"summary" | "emotional" | "user" | "linguistic" | "interactional" | "cultural">("summary");
 
   const [userData, setUserData] = useState<UserAnalysisResponse | null>(null);
   const [timeData, setTimeData] = useState<TimeAnalysisResponse | null>(null);
   const [contentData, setContentData] = useState<ContentAnalysisResponse | null>(null);
+  const [linguisticData, setLinguisticData] = useState<LinguisticAnalysisResponse | null>(null);
+  const [interactionData, setInteractionData] = useState<InteractionAnalysisResponse | null>(null);
+  const [culturalData, setCulturalData] = useState<CulturalAnalysisResponse | null>(null);
   const [summary, setSummary] = useState<SummaryResponse | null>(null);
 
 
@@ -83,15 +94,23 @@ const StatPage = () => {
     setLoading(true);
 
     Promise.all([
-      axios.get<TimeAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/time`, {
+      axios.get<TimeAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/temporal`, {
         params,
         headers: authHeaders,
       }),
-      axios.get<UserAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/user`, {
+      axios.get<UserEndpointResponse>(`${API_BASE_URL}/dataset/${datasetId}/user`, {
         params,
         headers: authHeaders,
       }),
-      axios.get<ContentAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/content`, {
+      axios.get<LinguisticAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/linguistic`, {
+        params,
+        headers: authHeaders,
+      }),
+      axios.get<EmotionalAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/emotional`, {
+        params,
+        headers: authHeaders,
+      }),
+      axios.get<InteractionAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/interactional`, {
         params,
         headers: authHeaders,
       }),
@@ -99,11 +118,28 @@ const StatPage = () => {
         params,
         headers: authHeaders,
       }),
+      axios.get<CulturalAnalysisResponse>(`${API_BASE_URL}/dataset/${datasetId}/cultural`, {
+        params,
+        headers: authHeaders,
+      }),
     ]) 
-      .then(([timeRes, userRes, contentRes, summaryRes]) => {
+      .then(([timeRes, userRes, linguisticRes, emotionalRes, interactionRes, summaryRes, culturalRes]) => {
-        setUserData(userRes.data || null);
+        const combinedUserData: UserAnalysisResponse = {
+          ...userRes.data,
+          interaction_graph: interactionRes.data?.interaction_graph ?? {},
+        };
+
+        const combinedContentData: ContentAnalysisResponse = {
+          ...linguisticRes.data,
+          ...emotionalRes.data,
+        };
+
+        setUserData(combinedUserData);
         setTimeData(timeRes.data || null);
-        setContentData(contentRes.data || null);
+        setContentData(combinedContentData);
+        setLinguisticData(linguisticRes.data || null);
+        setInteractionData(interactionRes.data || null);
+        setCulturalData(culturalRes.data || null);
         setSummary(summaryRes.data || null);
       })
       .catch((e) => setError("Failed to load statistics: " + String(e)))
@@ -218,6 +254,24 @@ return (
       >
         Users
       </button>
+      <button
+        onClick={() => setActiveView("linguistic")}
+        style={activeView === "linguistic" ? styles.buttonPrimary : styles.buttonSecondary}
+      >
+        Linguistic
+      </button>
+      <button
+        onClick={() => setActiveView("interactional")}
+        style={activeView === "interactional" ? styles.buttonPrimary : styles.buttonSecondary}
+      >
+        Interactional
+      </button>
+      <button
+        onClick={() => setActiveView("cultural")}
+        style={activeView === "cultural" ? styles.buttonPrimary : styles.buttonSecondary}
+      >
+        Cultural
+      </button>
     </div>
 
     {activeView === "summary" && (
@@ -243,6 +297,36 @@ return (
       <UserStats data={userData} />
     )}
 
+    {activeView === "linguistic" && linguisticData && (
+      <LinguisticStats data={linguisticData} />
+    )}
+
+    {activeView === "linguistic" && !linguisticData && (
+      <div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
+        No linguistic data available.
+      </div>
+    )}
+
+    {activeView === "interactional" && interactionData && (
+      <InteractionalStats data={interactionData} />
+    )}
+
+    {activeView === "interactional" && !interactionData && (
+      <div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
+        No interactional data available.
+      </div>
+    )}
+
+    {activeView === "cultural" && culturalData && (
+      <CulturalStats data={culturalData} />
+    )}
+
+    {activeView === "cultural" && !culturalData && (
+      <div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
+        No cultural data available.
+      </div>
+    )}
+
   </div>
 );
 }

frontend/src/types/ApiTypes.ts

@@ -1,14 +1,28 @@
-// User Responses
+// Shared types
-type TopUser = { 
-    author: string; 
-    source: string; 
-    count: number 
-};
-
 type FrequencyWord = {
   word: string;
   count: number;
-}
+};
+
+type NGram = {
+  count: number;
+  ngram: string;
+};
+
+type Emotion = {
+  emotion_anger: number;
+  emotion_disgust: number;
+  emotion_fear: number;
+  emotion_joy: number;
+  emotion_sadness: number;
+};
+
+// User 
+type TopUser = {
+  author: string;
+  source: string;
+  count: number;
+};
 
 type Vocab = {
   author: string;
@@ -31,43 +45,35 @@ type User = {
 
 type InteractionGraph = Record<string, Record<string, number>>;
 
+type UserEndpointResponse = {
+  top_users: TopUser[];
+  users: User[];
+};
+
 type UserAnalysisResponse = {
   top_users: TopUser[];
   users: User[];
   interaction_graph: InteractionGraph;
 };
 
-// Time Analysis
+// Time 
 type EventsPerDay = {
   date: Date;
   count: number;
-}
+};
 
 type HeatmapCell = {
   date: Date;
   hour: number;
   count: number;
-}
+};
 
 type TimeAnalysisResponse = {
   events_per_day: EventsPerDay[];
   weekday_hour_heatmap: HeatmapCell[];
-}
-
-// Content Analysis
-type Emotion = {
-  emotion_anger: number;
-  emotion_disgust: number;
-  emotion_fear: number;
-  emotion_joy: number;
-  emotion_sadness: number;
 };
 
-type NGram = {
+// Content (combines emotional and linguistic)
-    count: number;
-    ngram: string;
-}
-
 type AverageEmotionByTopic = Emotion & {
   n: number;
   topic: string;
@@ -92,7 +98,6 @@ type EmotionBySource = {
   event_count: number;
 };
 
-
 type ContentAnalysisResponse = {
   word_frequencies: FrequencyWord[];
   average_emotion_by_topic: AverageEmotionByTopic[];
@@ -101,7 +106,78 @@ type ContentAnalysisResponse = {
   overall_emotion_average?: OverallEmotionAverage[];
   dominant_emotion_distribution?: DominantEmotionDistribution[];
   emotion_by_source?: EmotionBySource[];
-}
+};
+
+// Linguistic
+type LinguisticAnalysisResponse = {
+  word_frequencies: FrequencyWord[];
+  common_two_phrases: NGram[];
+  common_three_phrases: NGram[];
+  lexical_diversity?: Record<string, number>;
+};
+
+// Emotional
+type EmotionalAnalysisResponse = {
+  average_emotion_by_topic: AverageEmotionByTopic[];
+  overall_emotion_average?: OverallEmotionAverage[];
+  dominant_emotion_distribution?: DominantEmotionDistribution[];
+  emotion_by_source?: EmotionBySource[];
+};
+
+// Interactional 
+type ConversationConcentration = {
+  total_commenting_authors: number;
+  top_10pct_author_count: number;
+  top_10pct_comment_share: number;
+  single_comment_authors: number;
+  single_comment_author_ratio: number;
+};
+
+type InteractionAnalysisResponse = {
+  average_thread_depth?: number;
+  top_interaction_pairs?: [[string, string], number][];
+  conversation_concentration?: ConversationConcentration;
+  interaction_graph: InteractionGraph;
+};
+
+// Cultural
+type IdentityMarkers = {
+  in_group_usage: number;
+  out_group_usage: number;
+  in_group_ratio: number;
+  out_group_ratio: number;
+  in_group_posts: number;
+  out_group_posts: number;
+  tie_posts: number;
+  in_group_emotion_avg?: Record<string, number>;
+  out_group_emotion_avg?: Record<string, number>;
+};
+
+type StanceMarkers = {
+  hedge_total: number;
+  certainty_total: number;
+  deontic_total: number;
+  permission_total: number;
+  hedge_per_1k_tokens: number;
+  certainty_per_1k_tokens: number;
+  deontic_per_1k_tokens: number;
+  permission_per_1k_tokens: number;
+};
+
+type EntityEmotionAggregate = {
+  post_count: number;
+  emotion_avg: Record<string, number>;
+};
+
+type AverageEmotionPerEntity = {
+  entity_emotion_avg: Record<string, EntityEmotionAggregate>;
+};
+
+type CulturalAnalysisResponse = {
+  identity_markers?: IdentityMarkers;
+  stance_markers?: StanceMarkers;
+  avg_emotion_per_entity?: AverageEmotionPerEntity;
+};
 
 // Summary 
 type SummaryResponse = {
@@ -118,18 +194,20 @@ type SummaryResponse = {
   sources: string[];
 };
 
-// Filtering Response
+// Filter 
 type FilterResponse = {
-    rows: number
+  rows: number;
   data: any;
-}
+};
 
 export type {
   TopUser,
   Vocab,
   User,
   InteractionGraph,
+  ConversationConcentration,
   UserAnalysisResponse,
+  UserEndpointResponse,
   FrequencyWord,
   AverageEmotionByTopic,
   OverallEmotionAverage,
@@ -138,5 +216,13 @@ export type {
   SummaryResponse,
   TimeAnalysisResponse,
   ContentAnalysisResponse,
-    FilterResponse
+  LinguisticAnalysisResponse,
-}
+  EmotionalAnalysisResponse,
+  InteractionAnalysisResponse,
+  IdentityMarkers,
+  StanceMarkers,
+  EntityEmotionAggregate,
+  AverageEmotionPerEntity,
+  CulturalAnalysisResponse,
+  FilterResponse,
+};

server/analysis/interactional.py

@@ -63,11 +63,25 @@ class InteractionAnalysis:
         pairs.sort(key=lambda x: x[1], reverse=True)
         return pairs[:top_n]
     
-    def initiator_ratio(self, df: pd.DataFrame):
+    def conversation_concentration(self, df: pd.DataFrame) -> dict:
-        starters = df["reply_to"].isna().sum()
+        if "type" not in df.columns:
-        total = len(df)
+            return {}
 
-        if total == 0:
+        comments = df[df["type"] == "comment"]
-            return 0
+        if comments.empty:
+            return {}
 
-        return round(starters / total, 2)
+        author_counts = comments["author"].value_counts()
+        total_comments = len(comments)
+        total_authors = len(author_counts)
+
+        top_10_pct_n = max(1, int(total_authors * 0.1))
+        top_10_pct_share = round(author_counts.head(top_10_pct_n).sum() / total_comments, 4)
+
+        return {
+            "total_commenting_authors": total_authors,
+            "top_10pct_author_count": top_10_pct_n,
+            "top_10pct_comment_share": float(top_10_pct_share),
+            "single_comment_authors": int((author_counts == 1).sum()),
+            "single_comment_author_ratio": float(round((author_counts == 1).sum() / total_authors, 4)),
+        }

server/analysis/stat_gen.py

@@ -121,8 +121,8 @@ class StatGen:
         return {
             "average_thread_depth": self.interaction_analysis.average_thread_depth(filtered_df),
             "top_interaction_pairs": self.interaction_analysis.top_interaction_pairs(filtered_df, top_n=100),
-            "initiator_ratio": self.interaction_analysis.initiator_ratio(filtered_df),
+            "interaction_graph": self.interaction_analysis.interaction_graph(filtered_df),
-            "interaction_graph": self.interaction_analysis.interaction_graph(filtered_df)
+            "conversation_concentration": self.interaction_analysis.conversation_concentration(filtered_df)
         }
 
     def cultural(self, df: pd.DataFrame, filters: dict | None = None) -> dict: