Complex Graphs and Networks

This book PDF is perfect for those who love Combinatorial analysis genre, written by Fan Chung and published by American Mathematical Soc. which was released on 25 May 2024 with total hardcover pages 274. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Complex Graphs and Networks books below.

Complex Graphs and Networks
Author : Fan Chung
File Size : 44,8 Mb
Publisher : American Mathematical Soc.
Language : English
Release Date : 25 May 2024
ISBN : 9780821836576
Pages : 274 pages
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Complex Graphs and Networks by Fan Chung Book PDF Summary

Graph theory is a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological networks, or any graph representing relations in massive data sets. This book explains the universal and ubiquitous coherence in the structure of these realistic but complex networks.

Complex Graphs and Networks

Graph theory is a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological networks, or any graph representing relations in massive data sets. This book explains the universal and ubiquitous coherence in the structure of these realistic but complex networks.

Get Book
Random Graphs and Complex Networks

This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

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Graph Spectra for Complex Networks

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

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Graph Theory and Complex Networks

This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern

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Mining Complex Networks

This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision-making processes. Data science and machine learning tools have become widely

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Handbook of Graphs and Networks

Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science. For example, economic or social interactions often organize themselves in complex network structures. Similar phenomena are observed in traffic flow and in communication networks as the internet. In current problems of

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Structural Analysis of Complex Networks

Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology,

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Complex Networks

This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial

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