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e5414befa7
| Author | SHA1 | Date | |
|---|---|---|---|
| e5414befa7 | |||
| 86926898ce | |||
| b1177540a1 |
@@ -9,6 +9,9 @@ type EmotionalStatsProps = {
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const EmotionalStats = ({contentData}: EmotionalStatsProps) => {
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const rows = contentData.average_emotion_by_topic ?? [];
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const overallEmotionAverage = contentData.overall_emotion_average ?? [];
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const dominantEmotionDistribution = contentData.dominant_emotion_distribution ?? [];
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const emotionBySource = contentData.emotion_by_source ?? [];
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const lowSampleThreshold = 20;
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const stableSampleThreshold = 50;
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const emotionKeys = rows.length
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@@ -64,39 +67,104 @@ const EmotionalStats = ({contentData}: EmotionalStatsProps) => {
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return (
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<div style={styles.page}>
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<div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
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<h2 style={styles.sectionTitle}>Average Emotion by Topic</h2>
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<p style={styles.sectionSubtitle}>Read confidence together with sample size. Topics with fewer than {lowSampleThreshold} events are usually noisy and less reliable.</p>
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<h2 style={styles.sectionTitle}>Topic Mood Overview</h2>
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<p style={styles.sectionSubtitle}>Use the strength score together with post count. Topics with fewer than {lowSampleThreshold} events are often noisy.</p>
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<div style={styles.emotionalSummaryRow}>
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<span><strong style={{ color: "#24292f" }}>Topics:</strong> {strongestPerTopic.length}</span>
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<span><strong style={{ color: "#24292f" }}>Median Sample:</strong> {medianSampleSize} events</span>
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<span><strong style={{ color: "#24292f" }}>Low Sample (<{lowSampleThreshold}):</strong> {lowSampleTopics}</span>
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<span><strong style={{ color: "#24292f" }}>Stable Sample ({stableSampleThreshold}+):</strong> {stableSampleTopics}</span>
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<span><strong style={{ color: "#24292f" }}>Median Posts:</strong> {medianSampleSize}</span>
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<span><strong style={{ color: "#24292f" }}>Small Topics (<{lowSampleThreshold}):</strong> {lowSampleTopics}</span>
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<span><strong style={{ color: "#24292f" }}>Stable Topics ({stableSampleThreshold}+):</strong> {stableSampleTopics}</span>
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</div>
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<p style={{ ...styles.sectionSubtitle, marginTop: 10, marginBottom: 0 }}>
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Confidence reflects how strongly one emotion leads within a topic, not model accuracy. Use larger samples for stronger conclusions.
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Strength means how far the top emotion is ahead in that topic. It does not mean model accuracy.
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</p>
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</div>
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<div style={{ ...styles.container, ...styles.grid }}>
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{strongestPerTopic.map((topic) => (
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<div key={topic.topic} style={{ ...styles.card, gridColumn: "span 4" }}>
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<h3 style={{ ...styles.sectionTitle, marginBottom: 6 }}>{topic.topic}</h3>
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<div style={styles.emotionalTopicLabel}>
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Top Emotion
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood Averages</h2>
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<p style={styles.sectionSubtitle}>Average score for each emotion.</p>
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{!overallEmotionAverage.length ? (
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<div style={styles.topUserMeta}>No overall emotion averages available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...overallEmotionAverage]
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.sort((a, b) => b.score - a.score)
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.map((row) => (
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<div key={row.emotion} style={styles.topUserItem}>
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<div style={styles.topUserName}>{formatEmotion(row.emotion)}</div>
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<div style={styles.topUserMeta}>{row.score.toFixed(3)}</div>
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</div>
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))}
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</div>
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<div style={styles.emotionalTopicValue}>
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{formatEmotion(topic.emotion)}
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood Split</h2>
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<p style={styles.sectionSubtitle}>How often each emotion is dominant.</p>
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{!dominantEmotionDistribution.length ? (
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<div style={styles.topUserMeta}>No dominant-emotion split available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...dominantEmotionDistribution]
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.sort((a, b) => b.ratio - a.ratio)
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.map((row) => (
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<div key={row.emotion} style={styles.topUserItem}>
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<div style={styles.topUserName}>{formatEmotion(row.emotion)}</div>
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<div style={styles.topUserMeta}>{(row.ratio * 100).toFixed(1)}% • {row.count.toLocaleString()} events</div>
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</div>
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))}
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</div>
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<div style={styles.emotionalMetricRow}>
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<span>Confidence</span>
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<span style={styles.emotionalMetricValue}>{topic.value.toFixed(3)}</span>
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</div>
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<div style={styles.emotionalMetricRowCompact}>
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<span>Sample Size</span>
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<span style={styles.emotionalMetricValue}>{topic.count} events</span>
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood by Source</h2>
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<p style={styles.sectionSubtitle}>Leading emotion in each source.</p>
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{!emotionBySource.length ? (
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<div style={styles.topUserMeta}>No source emotion profile available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...emotionBySource]
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.sort((a, b) => b.event_count - a.event_count)
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.map((row) => (
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<div key={row.source} style={styles.topUserItem}>
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<div style={styles.topUserName}>{row.source}</div>
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<div style={styles.topUserMeta}>
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{formatEmotion(row.dominant_emotion)} • {row.dominant_score.toFixed(3)} • {row.event_count.toLocaleString()} events
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</div>
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</div>
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))}
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</div>
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Topic Snapshots</h2>
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<p style={styles.sectionSubtitle}>Per-topic mood with strength and post count.</p>
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<div style={{ ...styles.grid, marginTop: 10 }}>
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{strongestPerTopic.map((topic) => (
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<div key={topic.topic} style={{ ...styles.cardBase, gridColumn: "span 4" }}>
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<h3 style={{ ...styles.sectionTitle, marginBottom: 6 }}>{topic.topic}</h3>
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<div style={styles.emotionalTopicLabel}>
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Likely Mood
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</div>
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<div style={styles.emotionalTopicValue}>
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{formatEmotion(topic.emotion)}
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</div>
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<div style={styles.emotionalMetricRow}>
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<span>Strength</span>
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<span style={styles.emotionalMetricValue}>{topic.value.toFixed(3)}</span>
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</div>
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<div style={styles.emotionalMetricRowCompact}>
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<span>Posts in Topic</span>
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<span style={styles.emotionalMetricValue}>{topic.count}</span>
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</div>
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</div>
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))}
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</div>
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))}
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</div>
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</div>
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</div>
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);
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@@ -40,6 +40,9 @@ const InteractionalStats = ({ data }: InteractionalStatsProps) => {
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const singleCommentAuthorRatio = typeof concentration?.single_comment_author_ratio === "number"
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? concentration.single_comment_author_ratio
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: null;
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const singleCommentAuthors = typeof concentration?.single_comment_authors === "number"
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? concentration.single_comment_authors
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: null;
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const topPairs = (data.top_interaction_pairs ?? [])
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.filter((item): item is [[string, string], number] => {
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@@ -84,48 +87,55 @@ const InteractionalStats = ({ data }: InteractionalStatsProps) => {
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return (
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<div style={styles.page}>
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<div style={{ ...styles.container, ...styles.grid }}>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Conversation Overview</h2>
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<p style={styles.sectionSubtitle}>Who talks to who, and how concentrated the replies are.</p>
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</div>
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<Card
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label="Avg Thread Depth"
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label="Average Reply Depth"
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value={typeof data.average_thread_depth === "number" ? data.average_thread_depth.toFixed(2) : "—"}
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sublabel="Depth from reply chains"
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sublabel="How deep reply chains usually go"
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style={{ gridColumn: "span 3" }}
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/>
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<Card
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label="Network Users"
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label="Users in Network"
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value={userCount.toLocaleString()}
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sublabel="Authors in interaction graph"
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sublabel="Users in the reply graph"
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style={{ gridColumn: "span 3" }}
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/>
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<Card
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label="Unique Links"
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label="User-to-User Links"
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value={edgeCount.toLocaleString()}
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sublabel="Directed source-target pairs"
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sublabel="Unique reply directions"
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style={{ gridColumn: "span 3" }}
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/>
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<Card
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label="Interaction Volume"
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label="Total Replies"
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value={interactionVolume.toLocaleString()}
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sublabel="Sum of link weights"
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sublabel="All reply links combined"
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style={{ gridColumn: "span 3" }}
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/>
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<Card
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label="Top 10% Comment Share"
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label="Concentrated Replies"
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value={topTenSharePercent === null ? "-" : `${topTenSharePercent.toFixed(1)}%`}
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sublabel={topTenAuthorCount === null || totalCommentingAuthors === null
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? "Comment volume held by top commenters"
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? "Reply share from the top 10% commenters"
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: `${topTenAuthorCount.toLocaleString()} of ${totalCommentingAuthors.toLocaleString()} authors`}
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style={{ gridColumn: "span 6" }}
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/>
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<Card
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label="Single-Comment Authors"
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value={singleCommentAuthorRatio === null ? "-" : `${(singleCommentAuthorRatio * 100).toFixed(1)}%`}
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sublabel="Authors who commented exactly once"
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sublabel={singleCommentAuthors === null
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? "Authors who commented exactly once"
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: `${singleCommentAuthors.toLocaleString()} authors commented exactly once`}
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style={{ gridColumn: "span 6" }}
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/>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Interaction Visuals</h2>
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<p style={styles.sectionSubtitle}>Quick charts for interaction direction and conversation concentration.</p>
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<h2 style={styles.sectionTitle}>Conversation Visuals</h2>
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<p style={styles.sectionSubtitle}>Main reply links and concentration split.</p>
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<div style={{ ...styles.grid, marginTop: 12 }}>
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<div style={{ ...styles.cardBase, gridColumn: "span 6" }}>
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@@ -175,8 +185,8 @@ const InteractionalStats = ({ data }: InteractionalStatsProps) => {
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</div>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Top Interaction Pairs</h2>
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<p style={styles.sectionSubtitle}>Most frequent directed reply paths between users.</p>
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<h2 style={styles.sectionTitle}>Frequent Reply Paths</h2>
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<p style={styles.sectionSubtitle}>Most common user-to-user reply paths.</p>
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{!topPairs.length ? (
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<div style={styles.topUserMeta}>No interaction pair data available.</div>
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) : (
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@@ -21,28 +21,33 @@ const LinguisticStats = ({ data }: LinguisticStatsProps) => {
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return (
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<div style={styles.page}>
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<div style={{ ...styles.container, ...styles.grid }}>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Language Overview</h2>
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<p style={styles.sectionSubtitle}>Quick read on how broad and repetitive the wording is.</p>
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</div>
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<Card
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label="Total Tokens"
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label="Total Words"
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value={lexical?.total_tokens?.toLocaleString() ?? "—"}
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sublabel="After token filtering"
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sublabel="Words after basic filtering"
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style={{ gridColumn: "span 4" }}
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/>
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<Card
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label="Unique Tokens"
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label="Unique Words"
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value={lexical?.unique_tokens?.toLocaleString() ?? "—"}
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sublabel="Distinct vocabulary items"
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sublabel="Different words used"
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style={{ gridColumn: "span 4" }}
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/>
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<Card
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label="Type-Token Ratio"
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label="Vocabulary Variety"
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value={typeof lexical?.ttr === "number" ? lexical.ttr.toFixed(4) : "—"}
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sublabel="Vocabulary richness proxy"
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sublabel="Higher means less repetition"
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style={{ gridColumn: "span 4" }}
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/>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Top Words</h2>
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<p style={styles.sectionSubtitle}>Most frequent filtered terms.</p>
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<p style={styles.sectionSubtitle}>Most used single words.</p>
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<div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
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{topWords.map((item) => (
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<div key={item.word} style={styles.topUserItem}>
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@@ -55,7 +60,7 @@ const LinguisticStats = ({ data }: LinguisticStatsProps) => {
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Top Bigrams</h2>
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<p style={styles.sectionSubtitle}>Most frequent 2-word phrases.</p>
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<p style={styles.sectionSubtitle}>Most used 2-word phrases.</p>
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<div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
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{topBigrams.map((item) => (
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<div key={item.ngram} style={styles.topUserItem}>
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@@ -68,7 +73,7 @@ const LinguisticStats = ({ data }: LinguisticStatsProps) => {
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Top Trigrams</h2>
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<p style={styles.sectionSubtitle}>Most frequent 3-word phrases.</p>
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<p style={styles.sectionSubtitle}>Most used 3-word phrases.</p>
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<div style={{ ...styles.topUsersList, maxHeight: 360, overflowY: "auto" }}>
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{topTrigrams.map((item) => (
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<div key={item.ngram} style={styles.topUserItem}>
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@@ -58,15 +58,13 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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const [selectedUser, setSelectedUser] = useState<string | null>(null);
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const selectedUserData: User | null = userData?.users.find((u) => u.author === selectedUser) ?? null;
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console.log(summary)
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return (
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<div style={styles.page}>
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{/* main grid*/}
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<div style={{ ...styles.container, ...styles.grid}}>
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<Card
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label="Total Events"
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label="Total Activity"
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value={summary?.total_events ?? "—"}
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sublabel="Posts + comments"
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style={{
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@@ -74,15 +72,15 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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}}
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/>
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<Card
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label="Unique Users"
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label="Active People"
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value={summary?.unique_users ?? "—"}
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sublabel="Distinct authors"
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sublabel="Distinct users"
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style={{
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gridColumn: "span 4"
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}}
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/>
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<Card
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label="Posts / Comments"
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label="Posts vs Comments"
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value={
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summary
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? `${summary.total_posts} / ${summary.total_comments}`
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@@ -108,13 +106,13 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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/>
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<Card
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label="Lurker Ratio"
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label="One-Time Users"
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value={
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typeof summary?.lurker_ratio === "number"
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? `${Math.round(summary.lurker_ratio * 100)}%`
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: "—"
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}
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sublabel="Users with only 1 event"
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sublabel="Users with only one event"
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style={{
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gridColumn: "span 4"
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}}
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@@ -136,12 +134,12 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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{/* events per day */}
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<div style={{ ...styles.card, gridColumn: "span 5" }}>
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<h2 style={styles.sectionTitle}>Events per Day</h2>
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<p style={styles.sectionSubtitle}>Trend of activity over time</p>
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<h2 style={styles.sectionTitle}>Activity Over Time</h2>
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<p style={styles.sectionSubtitle}>How much posting happened each day.</p>
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<div style={styles.chartWrapper}>
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<ResponsiveContainer width="100%" height="100%">
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<LineChart data={timeData?.events_per_day.filter((d) => new Date(d.date) >= new Date('2026-01-10'))}>
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<LineChart data={timeData?.events_per_day ?? []}>
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<CartesianGrid strokeDasharray="3 3" />
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<XAxis dataKey="date" />
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<YAxis />
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@@ -154,8 +152,8 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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{/* Word Cloud */}
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Word Cloud</h2>
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<p style={styles.sectionSubtitle}>Most common terms across events</p>
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<h2 style={styles.sectionTitle}>Common Words</h2>
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<p style={styles.sectionSubtitle}>Frequently used words across the dataset.</p>
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<div style={styles.chartWrapper}>
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<ReactWordcloud
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@@ -174,8 +172,8 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
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<div style={{...styles.card, ...styles.scrollArea, gridColumn: "span 3",
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}}
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>
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<h2 style={styles.sectionTitle}>Top Users</h2>
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<p style={styles.sectionSubtitle}>Most active authors</p>
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<h2 style={styles.sectionTitle}>Most Active Users</h2>
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<p style={styles.sectionSubtitle}>Who posted the most events.</p>
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<div style={styles.topUsersList}>
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{userData?.top_users.slice(0, 100).map((item) => (
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@@ -195,8 +193,8 @@ const SummaryStats = ({userData, timeData, contentData, summary}: SummaryStatsPr
|
||||
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||||
{/* Heatmap */}
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||||
<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Heatmap</h2>
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||||
<p style={styles.sectionSubtitle}>Activity density across time</p>
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||||
<h2 style={styles.sectionTitle}>Weekly Activity Pattern</h2>
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||||
<p style={styles.sectionSubtitle}>When activity tends to happen by weekday and hour.</p>
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||||
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||||
<div style={styles.heatmapWrapper}>
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||||
<ActivityHeatmap data={timeData?.weekday_hour_heatmap ?? []} />
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||||
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||||
@@ -12,6 +12,9 @@ type Props = {
|
||||
};
|
||||
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export default function UserModal({ open, onClose, userData, username }: Props) {
|
||||
const dominantEmotionEntry = Object.entries(userData?.avg_emotions ?? {})
|
||||
.sort((a, b) => b[1] - a[1])[0];
|
||||
|
||||
return (
|
||||
<Dialog open={open} onClose={onClose} style={styles.modalRoot}>
|
||||
<div style={styles.modalBackdrop} />
|
||||
@@ -66,6 +69,15 @@ export default function UserModal({ open, onClose, userData, username }: Props)
|
||||
</div>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{dominantEmotionEntry ? (
|
||||
<div style={styles.topUserItem}>
|
||||
<div style={styles.topUserName}>Dominant Avg Emotion</div>
|
||||
<div style={styles.topUserMeta}>
|
||||
{dominantEmotionEntry[0].replace("emotion_", "")} ({dominantEmotionEntry[1].toFixed(3)})
|
||||
</div>
|
||||
</div>
|
||||
) : null}
|
||||
</div>
|
||||
)}
|
||||
</DialogPanel>
|
||||
|
||||
@@ -87,15 +87,15 @@ const UserStats = (props: { data: UserAnalysisResponse }) => {
|
||||
style={{ gridColumn: "span 3" }}
|
||||
/>
|
||||
<Card
|
||||
label="Interactions"
|
||||
label="Replies"
|
||||
value={totalInteractions.toLocaleString()}
|
||||
sublabel="Filtered links (2+ interactions)"
|
||||
sublabel="Links with at least 2 replies"
|
||||
style={{ gridColumn: "span 3" }}
|
||||
/>
|
||||
<Card
|
||||
label="Average Intensity"
|
||||
label="Replies per Connected User"
|
||||
value={avgInteractionsPerConnectedUser.toFixed(1)}
|
||||
sublabel="Interactions per connected user"
|
||||
sublabel="Average from visible graph links"
|
||||
style={{ gridColumn: "span 3" }}
|
||||
/>
|
||||
<Card
|
||||
@@ -106,13 +106,13 @@ const UserStats = (props: { data: UserAnalysisResponse }) => {
|
||||
/>
|
||||
|
||||
<Card
|
||||
label="Strongest Connection"
|
||||
label="Strongest User Link"
|
||||
value={strongestLink ? `${strongestLink.source} -> ${strongestLink.target}` : "—"}
|
||||
sublabel={strongestLink ? `${strongestLink.value.toLocaleString()} interactions` : "No graph edges after filtering"}
|
||||
sublabel={strongestLink ? `${strongestLink.value.toLocaleString()} replies` : "No graph links after filtering"}
|
||||
style={{ gridColumn: "span 6" }}
|
||||
/>
|
||||
<Card
|
||||
label="Most Reply-Driven User"
|
||||
label="Most Comment-Heavy User"
|
||||
value={highlyInteractiveUser?.author ?? "—"}
|
||||
sublabel={
|
||||
highlyInteractiveUser
|
||||
@@ -125,7 +125,7 @@ const UserStats = (props: { data: UserAnalysisResponse }) => {
|
||||
<div style={{ ...styles.card, gridColumn: "span 12" }}>
|
||||
<h2 style={styles.sectionTitle}>User Interaction Graph</h2>
|
||||
<p style={styles.sectionSubtitle}>
|
||||
Nodes represent users and links represent conversation interactions.
|
||||
Each node is a user, and each link shows replies between them.
|
||||
</p>
|
||||
<div ref={graphContainerRef} style={{ width: "100%", height: graphSize.height }}>
|
||||
<ForceGraph3D
|
||||
|
||||
@@ -40,6 +40,7 @@ type User = {
|
||||
comment: number;
|
||||
comment_post_ratio: number;
|
||||
comment_share: number;
|
||||
avg_emotions?: Record<string, number>;
|
||||
vocab?: Vocab | null;
|
||||
};
|
||||
|
||||
|
||||
Reference in New Issue
Block a user