Leseprobe
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The Structure and Dynamics of Networks
Mark Newman, Duncan J. Watts, Albert-László Barabási, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Mathematik
Beschreibung
From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questions and building a new "science of networks." This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field.
The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science--the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.
Kundenbewertungen
Extrapolation, Breadth-first search, Epidemiology, Fitness model (network theory), Phase transition, Result, Computer simulation, Assortative mixing, Algorithm, Differential equation, Computer network, Border Gateway Protocol, Log–log plot, Poisson distribution, Connected component (graph theory), Database, Giant component, Network address, Artificial neural network, Explanatory power, Directed graph, Graph property, Eigenvalues and eigenvectors, Probability-generating function, Network model, Collective behavior, Search problem, World Wide Web, Ranking (information retrieval), Adjacency matrix, Coefficient, Network motif, Cluster analysis, Network theory, Calculation, Strongly connected component, Network robustness, Dynamical system, Power law, Diagram (category theory), Ising model, Network science, Hierarchical clustering, Scientific notation, Centrality, Asymptotic analysis, Degree distribution, Betweenness, Transpose, Subset, Path length, Random graph, Equation, Bethe lattice, Complex network, Mathematics, Probability, Mathematician, Percolation threshold, Effective dimension, Preferential attachment, Social network analysis, Interaction, Scale-free network, Generating function, Connectivity (graph theory), Graph theory, Theory, Call graph, Quantity