NETWORKSCORE

Preferential Attachment

New links favor already-linked nodes, manufacturing power laws from pure growth.

hubs spread, bridges surprise · recreated schematic

How it works

Each newcomer links to old nodes with odds proportional to degree.
Early nodes bank an unbeatable head start.
Degree histograms freeze into power laws.

Use → Citations, followers, city pull. Seed early visibility deliberately.

Watch out → Assuming the biggest won on merit — arrival time is a hidden engine.

Try it → Simulate 200 nodes attaching preferentially; plot the degree histogram.

REDCAPE jobs → Explain · Predict

Free sources → SFI Fractals & Scaling • Wikipedia: Barabási–Albert model (CC BY-SA)

◍ Mentor soonSee REDCAPE playbook →

Attach to a lattice — combines with

Different families, shared jobs. Disagreement between them is where insight lives.

Entropy & Uncertainty

Entropy scores surprise: equilibrium, cyclic, random and complex outcomes sit at different levels of uncertainty.

SHARED JOBS: EXPLAIN · PREDICT

Exponential & Solow Growth

Compounding plus capital, labor and ideas explain why some economies stall.

SHARED JOBS: EXPLAIN · PREDICT

SORTING & PEER EFFECTS

Granovetter Threshold

Each person has a join threshold; cascades depend on the distribution, not the average.

SHARED JOBS: EXPLAIN · PREDICT

More in Networks

Network Structure & Formation

Degree, clustering, bridges and formation logic predict what flows — and what breaks.

Percolation / Tipping Points

Sparse links suddenly gel into a giant component — bank networks and blackouts tip fast.

← Network Structure & Formation Percolation / Tipping Points →