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Random Graphs and Complex Networks

in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and;

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Generating Random Networks and Graphs

Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Complex Graphs and Networks

first principles the universal and ubiquitous coherence in the structure of these realistic but complex networks? In order to analyze these;

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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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Groups, Graphs and Random Walks

An accessible and panoramic account of the theory of random walks on groups and graphs, stressing the strong connections of the theory with;

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Random Graphs

Presents refereed papers by international experts regarding such diverse areas of interest as: random mappings and permutations;

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Machine Learning in Social Networks

interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems;

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Graph Theory and Interconnection Networks

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory;

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Graph Theory and Interconnection Networks

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory;

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Graph Mining

Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies;

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Introduction to Random Graphs

The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.;

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Graph Spectra for Complex Networks

and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph;

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Graph Spectra for Complex Networks

and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph;

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Algorithms and Models for the Web Graph

algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation;

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Statistical Analysis of Graph Structures in Random Variable Networks

This book studies complex systems with elements represented by random variables. Its main goal is to study and compare uncertainty;

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Random Graphs

This book is devoted to the study of classical combinatorial structures such as random graphs, permutations, and systems of random linear;

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Random Graphs

This book is devoted to the study of classical combinatorial structures such as random graphs, permutations, and systems of random linear;

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Stochastic Geometry for Wireless Networks

Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will;

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Algorithms and Models for the Web Graph

-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks;

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Statistical and Machine Learning Approaches for Network Analysis

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches;

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Foundations of Data Science

algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important;

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Harmonic Functions and Potentials on Finite or Infinite Networks

Random walks, Markov chains and electrical networks serve as an introduction to the study of real-valued functions on finite or infinite;

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Random Graphs for Statistical Pattern Recognition

This work provides comprehensive coverage of two timely fields, enhanced with many references and real world examples. This valuable;

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