network-physics

Layer 1 — Physics24 concepts in this subtree

Statistical and dynamical physics of complex networks — graphs whose nodes and edges are governed by universal statistical laws rather than by a specific geometric or chemical lattice structure. Canonical ensembles: Erdős-Rényi 1959-60…

Erdős-Rényi random graph G(N, p): giant component at ⟨k⟩ = 1
Barabási-Albert 1999: preferential attachment → γ = 3
Watts-Strogatz 1998 small-world: C(p) ≈ C(0)(1-p)³
ER giant-component threshold: ⟨k⟩_c = 1 exact (Poisson branching)
BA exponent γ = 3 exact from P(k) = 2m(m+1)/[k(k+1)(k+2)]
WS clustering: C(0) = 1/2 at K=2, C(p=1/2)/C(0) = 1/8
Cycle graph C_N as planar graph: Euler formula V - E + F = 2 with V = N, E = N, F = 2
Cycle-graph Laplacian spectrum: eigenvalues 2 - 2 cos(2 pi k/N); trace equals 2N (Chebyshev sum identity)
Cycle chromatic polynomial: P(C_N, k) = (k-1)^N + (-1)^N (k-1) (deletion-contraction / Polya enumeration)
Theorem: cycle graph C_N Euler characteristic V - E + F = N - N + 2 = 2
Theorem: trace of cycle-Laplacian for C_4 equals 8 (Chebyshev-sum / root-of-unity identity)
Theorem: P(C_4, k) expanded = k^4 - 4 k^3 + 6 k^2 - 3 k (explicit polynomial identity)
Small world (Watts-Strogatz 1998)
Scale-free (Barabasi-Albert 1999)
ER random graph (1959)
Community detection (Newman-Girvan 2004)
Controllability (Liu 2011)
Temporal networks (Holme-Saramaki 2012)
Erdős-Rényi (1960)
Small world (Watts-Strogatz 1998)
BA scale-free (Barabási-Albert 1999)
Modularity (Newman-Girvan 2004)
Network epidemic (Pastor-Satorras 2001)
Multilayer (Boccaletti 2014)
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