Introduction to the Modeling and Analysis of Complex Systems

476 INDEXlinear system, 36linearization, 90link, 295, 296local bifurcation, 131logistic growth, 54, 105logistic map, 80, 152long tail, 355long-range inhibition, 202Lorenz attractor, 164Lorenz equations, 162Lotka-Volterra model, 58, 107, 114Louvain method, 400Lyapunov exponent, 157Lyapunov stable, 94machine learning, 8majority rule, 190, 326matplotlib, 42matrix exponential, 120matrix spectrum, 408Matthew effect, 354mean field, 215mean-field approximation, 215, 416mesoscopic property, 400mode, 83model, 13modeling, 13modularity, 400moment closure, 426Monte Carlo simulation, 207multi-layer cellular automata, 200multigraph, 302multiple edges, 302multiplex network, 340n-partite graph, 300nabla, 230negative assortativity, 397neighbor, 297neighbor degree distribution, 421neighbor detection, 436neighborhood, 186network, 8, 76, 295, 296network analysis, 377network density, 371network growth, 354network model, 295network percolation, 372, 376network randomization, 323network science, 24, 295network size, 371network topology, 296NetworkX, 76, 303neuron, 143neutral center, 94, 126no boundaries, 189node, 295, 296node strength, 302non-autonomous system, 37non-diagonalizable matrix, 83non-quiescent state, 189nonlinear dynamics, 6nonlinear system, 6, 36nonlinearity, 6nullcline, 113numerical integration, 104Occam’s razor, 21order parameter, 200Oregonator, 263organized complexity, 4out-degree centrality, 381PageRank, 382pair approximation, 426parity rule, 191