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"_meta": {
"description": "8x8 symmetric audience overlap matrix between competitor archetypes and the user creator. Values 0.0-1.0 represent fraction of shared audience (Jaccard intersection fraction). Used by propose_collab to compute collab reward multipliers and by query_creator_pool to expose overlap to the agent. Same-niche pairs ~0.4-0.65, cross-niche ~0.05-0.20.",
"source": "Competitor pairs estimated from Rival IQ 2025 cross-industry overlap patterns + niche proximity heuristic. user_creator row tuned to a generic micro-creator (no locked niche): broad mass-market partners (lifestyle_blogger, viral_chaser) score highest; specialist partners (b2b_thought_leader, niche_expert) score lowest.",
"mock_followers_note": "Mocked follower counts span tiers from micro (10k user) to mid (250k viral_chaser). Used to derive intersection size via Jaccard inversion: |A intersect B| = overlap * (|A| + |B|) / (1 + overlap)."
},
"archetype_ids": ["niche_expert", "viral_chaser", "lifestyle_blogger", "b2b_thought_leader", "food_creator", "fitness_coach", "travel_creator", "user_creator"],
"matrix": [
[1.00, 0.12, 0.10, 0.40, 0.08, 0.10, 0.15, 0.10],
[0.12, 1.00, 0.55, 0.10, 0.20, 0.25, 0.30, 0.35],
[0.10, 0.55, 1.00, 0.15, 0.30, 0.35, 0.40, 0.40],
[0.40, 0.10, 0.15, 1.00, 0.08, 0.10, 0.12, 0.08],
[0.08, 0.20, 0.30, 0.08, 1.00, 0.45, 0.35, 0.25],
[0.10, 0.25, 0.35, 0.10, 0.45, 1.00, 0.30, 0.28],
[0.15, 0.30, 0.40, 0.12, 0.35, 0.30, 1.00, 0.30],
[0.10, 0.35, 0.40, 0.08, 0.25, 0.28, 0.30, 1.00]
],
"niche_by_archetype": {
"niche_expert": "tech",
"viral_chaser": "lifestyle",
"lifestyle_blogger": "lifestyle",
"b2b_thought_leader": "business",
"food_creator": "food",
"fitness_coach": "fitness",
"travel_creator": "travel",
"user_creator": "generic"
},
"mock_followers_by_archetype": {
"niche_expert": 12000,
"viral_chaser": 250000,
"lifestyle_blogger": 11000,
"b2b_thought_leader": 9000,
"food_creator": 12000,
"fitness_coach": 8000,
"travel_creator": 11000,
"user_creator": 10000
}
}
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