ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
The viral conductance of a network
Computer Communications
Degree and principal eigenvectors in complex networks
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
Time averaged distribution of a discrete-time quantum walk on the path
Quantum Information Processing
Generating graphs that approach a prescribed modularity
Computer Communications
An overview of algorithms for network survivability
ISRN Communications and Networking
Characterising and modelling social networks with overlapping communities
International Journal of Web Based Communities
Generalized epidemic mean-field model for spreading processes over multilayer complex networks
IEEE/ACM Transactions on Networking (TON)
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Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.