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Introduction to the Modeling and Analysis of Complex Systems

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Indexaction potential, 202ac<strong>to</strong>r, 296adaptation, 8adaptive network, 325, 360adjacency list, 297adjacency matrix, 297agent, 427agent-based model, 24, 427algebraic connectivity, 408analytical solution, 39artificial life, 192artificial neural network, 8, 24, 295assortativity, 397assortativity coefficient, 397asymp<strong>to</strong>tic behavior, 81asynchronous cellular au<strong>to</strong>mata, 200attrac<strong>to</strong>r, 32attrac<strong>to</strong>r network, 346au<strong>to</strong>catalytic reaction, 266au<strong>to</strong>ma<strong>to</strong>n, 185au<strong>to</strong>nomous system, 37average clustering coefficient, 386Barabási-Albert model, 354basin <strong>of</strong> attraction, 32, 77Belousov-Zhabotinsky reaction, 263betweenness centrality, 381bifurcation, 131bifurcation diagram, 133, 149bipartite graph, 300Boids, 439Boolean network, 295boundary condition, 189butterfly effect, 154BZ reaction, 263cAMP, 246cascading failure, 347catastrophe, 139causal loop diagram, 56CCDF, 391cellular au<strong>to</strong>mata, 8, 24, 185center, 379chaos, 6, 151, 153characteristic path length, 378chemotaxis, 246closed-form solution, 39closeness centrality, 381clustering, 386clustering coefficient, 386coarsening, 198cobweb plot, 68, 217collective behavior, 8, 429community, 400community structure, 400complementary cumulative distribution function,391complete graph, 300473

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