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Random Graph Dynamics

The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six;

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An Introduction to Exponential Random Graph Modeling

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely;

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Random Graph Dynamics

and Watts to define the small world random graph, where each site is connected to close neighbours, but also has long range connections. At;

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Random Walks and Heat Kernels on Graphs

This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an;

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Large Deviations for Random Graphs

This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a;

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Graph Searching Games and Probabilistic Methods

Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and;

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Graph Searching Games and Probabilistic Methods

Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and;

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Graph Dynamics

Study of graph operators or graph-valued functions such as the line graph, the clique graph, the complement, and powers, raises several;

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Modern Graph Theory

Szemerédis Regularity Lemma and its use, Shelahs extension of the Hales-Jewett Theorem, the precise nature of the phase transition in a random graph;

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System Dynamics and Control with Bond Graph Modeling

Written by a professor with extensive teaching experience, System Dynamics and Control with Bond Graph Modeling treats system dynamics from;

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Exponential Random Graph Models for Social Networks

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure;

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Exponential Random Graph Models for Social Networks

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure;

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Probabilistic Methods in Geometry, Topology and Spectral Theory

field theory, and random graph theory. Its emphasis was on the use of ideas and methods from probability in different areas, such as quantum;

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Cognitive Phase Transitions in the Cerebral Cortex Enhancing the Neuron Doctri

first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory;

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Quantitative Graph Theory

concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or;

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Quantitative Graph Theory

concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or;

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Random Geometrically Graph Directed Self-Similar Multifractals

mathematicians. This new work presents the latest research on random results on random multifractals and the physical thermodynamical interpretation;

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Random Geometrically Graph Directed Self-Similar Multifractals

mathematicians. This new work presents the latest research on random results on random multifractals and the physical thermodynamical interpretation;

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Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields

first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory;

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Dynamical Systems and Random Processes

, celestial mechanics, symbolic dynamics, computational topology, random processes, and regular languages. The intent is to provide a glimpse;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

collection of novel graph kernels related to edit distance, including diffusion kernels, convolution kernels, and random walk kernels. From an;

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Graph Representation Learning

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry;

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Graph Theory

Graphs can be used to model many types of relations and process dynamics in physical, biological, social and information systems. Many;

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The Seventh European Conference on Combinatorics, Graph Theory and Applications

), and Eurocomb'11 (Budapest), this volume covers recent advances in combinatorics and graph theory including applications in other areas;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 9th International Workshop on Algorithms and Models for the Web-Graph, WAW 2012, held;

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An Atlas of Edge-Reversal Dynamics

An Atlas Of Edge-Reversal Dynamics is the first in-depth account of the graph dynamics system SER (Scheduling by Edge Reversal), a powerful;

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An Atlas of Edge-Reversal Dynamics

An Atlas Of Edge-Reversal Dynamics is the first in-depth account of the graph dynamics system SER (Scheduling by Edge Reversal), a powerful;

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