Spring Oats places your track with hundreds of micro-creators before you spend on macro — priming the network so algorithms amplify what already works.
Social algorithms model content spread like infection through a network. A cold network resists even expensive macro pushes. A primed one cascades.
SIR epidemiological model: a primed network lowers the reproduction threshold, triggering cascade.
Granovetter (1973) showed that new information travels through weak ties — the bridges between clusters, not the dense connections within them.
Hover clusters to explore. Red nodes = bridge nodes (high betweenness centrality)
Micro-creators sitting between communities carry information across cluster boundaries. They have high betweenness centrality — controlling information flow independent of follower count.
Dense intra-cluster connections create echo chambers. Information circulates without escaping — limiting spread to existing fans.
TikTok's FYP acts as a super-node with extreme eigenvector centrality — connected to every high-reach node. Prior engagement signals are the access key. Seeding earns proximity.
Network density: D = 2E / N(N−1) — Spring Oats increases effective network density per dollar by targeting high-betweenness nodes first.
We activate micro-creators across platform clusters before macro spend — priming the network so algorithmic amplification is already earned.
Every seeding decision is grounded in peer-reviewed social network analysis — not intuition or guesswork.
Node size = eigenvector centrality · Colour intensity = betweenness centrality
A node's betweenness centrality measures how often it sits on the shortest path between other nodes. Micro-creators with high betweenness bridge communities — not the most followed, but the most connected across clusters.
Eigenvector centrality scores a node by the centrality of its neighbors. TikTok's FYP operates as a super-node with extreme eigenvector centrality. Seeding earns proximity to it through demonstrated engagement.
Louvain community detection identifies natural audience clusters. Spring Oats targets bridge nodes between clusters — maximising cross-community reach per dollar spent.
Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6)
Jasim et al. (2024). Advanced Network Analysis Techniques for Social Media. Journal of Ecohumanism, 3(5)
Igein, Adelabu & Fanimokun (2026). Network Theory and Viral Contents. Redeemer's University Journal
Tell us your track, target audience, and timeline. We map your sonic territory to creator communities and identify high-betweenness nodes across TikTok and Reels.
We activate 100–500 micro-creators ($25–$100 each) across music meme pages, VFX creators, and cultural aggregators. Seeding runs 1–2 weeks before any macro spend — priming the algorithm before you pay for reach.
Full campaign analytics: UGC count, impression range, CPM, community penetration by region. We identify which clusters responded — informing where to concentrate your macro spend.
First campaigns launching Q3 2026. Tell us about your release and we'll reach out with a proposal.
Or email us directly at hello@springoats.com