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This book will be the first to discuss this new developing and
exciting topic -- Robustness of Network of Networks -- which can be
regarded as a second revolution in network science
Examining important results and analytical techniques, this
graduate-level textbook is a step-by-step presentation of the
structure and function of complex networks. Using a range of
examples, from the stability of the internet to efficient methods
of immunizing populations, and from epidemic spreading to how one
might efficiently search for individuals, this textbook explains
the theoretical methods that can be used, and the experimental and
analytical results obtained in the study and research of complex
networks. Giving detailed derivations of many results in complex
networks theory, this is an ideal text to be used by graduate
students entering the field. End-of-chapter review questions help
students monitor their own understanding of the materials
presented.
The fractal concept has become an important tool for understanding
irregular complex systems in various scientific disciplines. This
book discusses in great detail fractals in biology, heterogeneous
chemistry, polymers, and the earth sciences. Beginning with a
general introduction to fractal geometry it continues with eight
chapters on self-organized criticality, rough surfaces and
interfaces, random walks, chemical reactions, and fractals in
chemistry, biology, and medicine. A special chapter entitled
"Computer Exploration of Fractals, Chaos, and Cooperativity"
presents computer demonstrations of fractal models.
Percolation theory is a well studied process utilized by networks
theory to understand the resilience of networks under random or
targeted attacks. Despite their importance, spatial networks have
been less studied under the percolation process compared to the
extensively studied non-spatial networks. In this Element, the
authors will discuss the developments and challenges in the study
of percolation in spatial networks ranging from the classical
nearest neighbors lattice structures, through more generalized
spatial structures such as networks with a distribution of edge
lengths or community structure, and up to spatial networks of
networks.
Fractal structures are found everywhere in nature, and as a
consequence anomalous diffusion has far reaching implications in a
host of phenomena. This book describes diffusion and transport in
disordered media such as fractals, porous rocks and random resistor
networks. Divided into four Parts, Part I contains material of
general interest to statistical physics: fractals, percolation
theory, regular random walks and diffusion, continuous time random
walks and Levy walks and flights. Part II covers anomalous
diffusion in fractals and disordered media, while Part III serves
as an introduction to the kinetics of diffusion-limited reactions.
Part IV discusses the problem of diffusion-limited coalescence in
one dimension. This book will be of particular interest to
researchers requiring a clear introduction to the field. It will
also be of interest to graduate students studying in areas of
physics, chemistry, and engineering.
The fractal concept has become an important tool for understanding
irregular complex systems in various scientific disciplines. This
book discusses in great detail fractals in biology, heterogeneous
chemistry, polymers, and the earth sciences. Beginning with a
general introduction to fractal geometry it continues with eight
chapters on self-organized criticality, rough surfaces and
interfaces, random walks, chemical reactions, and fractals in
chemistry, biology, and medicine. A special chapter entitled
"Computer Exploration of Fractals, Chaos, and Cooperativity"
presents computer demonstrations of fractal models.
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