125 verified cross-domain isomorphisms. Each discovery reveals structural similarities between papers from different academic fields.
Both mechanisms describe how spatial interaction zones and distance-dependent influence decay govern collective motion and flocking. The physics model focuses on mathematical expon...
Both describe bottom-up emergence from local rules to global patterns. While they share the same conceptual framework (self-organization without central control), they're almost ta...
Both describe cell size feedback control through phase-specific mechanisms (sizer/timer/adder). Extrinsic (population-density) vs intrinsic (size-deviation) feedback loops. Trade-o...
Both mechanisms describe how network clustering and modular structure affect cascade propagation. The physics paper focuses on two-tiered spreading in modular networks, while netwo...
Both describe size homeostasis through feedback. Extrinsic noise and population structure jointly determine size distributions. Noise integration and control strategies. Same mecha...
Both describe how network topology shapes collective dynamics. The sociology paper emphasizes information flow determining collective outcomes, while network science focuses on str...
Beautiful cross-domain match! Both describe multiplicative cascade dynamics creating scale-invariant patterns. Cognitive science finds this in mental performance fluctuations, phys...
Discovered paper pair (Session 38). Detailed explanation not available.
Complementary mechanisms for system tipping points. One describes noise-induced vs critical transitions, the other rate-dependent tipping. Together they form a complete typology of...
Outstanding match between heartbeat dynamics and cognitive performance! Both exhibit multifractal cascades across time scales. The biology paper shows this in healthy hearts (lost...
Turbulence energy cascades match cognitive performance cascades! Both show multiplicative cascade processes creating intermittent multifractal structures. Physics describes energy...
Two complementary synchronization mechanisms. One describes continuous coupling phase transition (Kuramoto model), the other pulse-coupled synchronization. Both explain how populat...
Network position determines productivity through strategic complementarities. Central nodes access diverse knowledge/connections. Preferential attachment reinforces centrality adva...
Statistical mechanics approach to agent-based systems appears in both domains. Socioeconomics uses it for collective behaviors, computer science for emergent simulations. Same fram...
Both about cell size control but through different mechanisms. Paper 1: feedback across phases. Paper 2: proliferation-driven variability vs mechanical relaxation. Related but not...
Discovered paper pair (Session 38). Detailed explanation not available.
Discovered paper pair (Session 38). Detailed explanation not available.
Discovered paper pair (Session 38). Detailed explanation not available.
Both describe positive Lyapunov exponents (sensitivity to initial conditions), scaling laws, and self-similarity. One in discrete dynamical systems with fractal attractors, one in...
Cooperation shaped by behavioral feedback AND resource constraints. Strategic behavior creates reputation/norms while simultaneously affecting shared resources. Feedback between so...
Beautiful match between self-propelled particles and flocking! Physics describes autonomous units interacting through forces, biology describes three-zone interaction rules. Both e...
Information networks shaping collective outcomes matches biological self-organization. Both describe how structure and dynamics of local interactions determine global behavior with...
Discovered paper pair (Session 38). Detailed explanation not available.
Discovered paper pair (Session 38). Detailed explanation not available.
Stochastic pulsing in biology matches phase transition in physics! Individual cells randomly pulse below threshold then collectively synchronize above it - identical to Kuramoto os...
Robot swarms developing specialized roles matches biological stigmergy. Both describe distributed problem-solving through environment modification and local interactions without ce...
Both involve scaling laws and critical behavior. Paper 1: fractal attractors and self-similarity. Paper 2: critical slowing down at bifurcations with diverging timescales. Related...
Both about R&D/innovation networks. Network centrality → innovation output. Strategic interactions (Paper 2 adds Stackelberg/Nash equilibrium). Spillovers through connections. Soli...
Discovered paper pair (Session 38). Detailed explanation not available.
Neural circuits generating sustained/oscillatory responses matches spatial pattern emergence in excitable cells. Both involve local excitable dynamics producing emergent spatiotemp...