Structure and Dynamics of Networks

Regular price €107.99
A01=Albert-Laszlo Barabasi
A01=Duncan J. Watts
A01=Mark Newman
Adjacency matrix
Algorithm
Artificial neural network
Assortative mixing
Asymptotic analysis
Author_Albert-Laszlo Barabasi
Author_Duncan J. Watts
Author_Mark Newman
Bethe lattice
Betweenness
Border Gateway Protocol
Breadth-first search
Calculation
Call graph
Category=JMH
Centrality
Cluster analysis
Coefficient
Collective behavior
Complex network
Computer network
Computer simulation
Connected component (graph theory)
Connectivity (graph theory)
Database
Degree distribution
Diagram (category theory)
Differential equation
Directed graph
Dynamical system
Effective dimension
Eigenvalues and eigenvectors
Epidemiology
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equation
Explanatory power
Extrapolation
Fitness model (network theory)
Generating function
Giant component
Graph property
Graph theory
Hierarchical clustering
Interaction
Ising model
Log-log plot
Mathematician
Mathematics
Network address
Network model
Network motif
Network robustness
Network science
Network theory
Path length
Percolation threshold
Phase transition
Poisson distribution
Power law
Preferential attachment
Probability
Probability-generating function
Quantity
Random graph
Ranking (information retrieval)
Result
Scale-free network
Scientific notation
Search problem
Social network analysis
Strongly connected component
Subset
Theory
Transpose
World Wide Web

Product details

  • ISBN 9780691113579
  • Weight: 1389g
  • Dimensions: 216 x 279mm
  • Publication Date: 07 May 2006
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
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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.
Mark Newman is Professor of Physics at the University of Michigan. Albert-Laszlo Barabasi is Emil T. Hofman Professor of Physics at the University of Notre Dame. He is the author of "Linked: The New Science of Networks" (Perseus Books). Duncan J. Watts is Associate Professor of Sociology at Columbia University. He is the author of "Six Degrees: The Science of a Connected Age" (W. W. Norton) and "Small Worlds: The Dynamics of Networks Between Order and Randomness" (Princeton).