Complex Networks Books

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We have compiled the list of Best Reference Books on Complex Networks subject. These books are used by students of top universities, institutes and colleges. Here is the full list of best books on Complex Networks along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Complex Networks subject and came out with a recommended list of best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on “Complex Networks” as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

List of Complex Networks Books with author’s names, publishers, and an unbiased review as well as links to the Amazon website to directly purchase these books.

1. Complex Networks

1. “Evolution of Networks” by S N Dorogovtsev and J F F Mendes

Book Review: The book explains the concepts of networks where the concepts of internet and WWW are very nicely demonstrated. The book explains how physical existence is based on various biological networks. The book provides enveloping networks of economic and social relations. The book provides the basics of networks, general principles of the organization and evolution of networks,. The book also captures old ideas from mathematics, statistical physics, biology, computer science. The book is written by physicists who present a general insight in the world of networks.

2. “Optimization of Stochastic Discrete Systems and Control on Complex Networks” by Dmitrii Lozovanu and Stefan Pickl

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“Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks (Advances in Computational Management Science Book 12)” Book Review: This book presents the most recent discoveries on stochastic unique programming models and on tackling ideal control issues in organizations. It remembers the creators’ new discoveries for deciding the ideal arrangement of discrete ideal control issues in organizations and on tackling game variations of Markov choice issues with regards to computational organizations. To begin with, the book examines the limited state space of Markov cycles and audits the current strategies and calculations for deciding the primary qualities in Markov chains, prior to proposing new methodologies dependent on powerful programming and combinatorial techniques. Part two is committed to boundless skyline stochastic discrete ideal control models and Markov choice issues with normal and anticipated complete limited improvement standards, while Chapter three builds up a unique game-hypothetical way to deal with Markov choice cycles and stochastic discrete ideal control issues. All things considered, the book’s last section is dedicated to limited skyline stochastic control issues and Markov choice cycles. The calculations created address a significant commitment to the significant field of computational organization hypothesis.

3. “Complex Networks: Structure, Robustness and Function” by Reuven Cohen and ‎Shlomo Havlin

Book Review: This book presents a step-by-step presentation of the structure and function of complex networks by examining the important results and analytical techniques. With the help of a set of examples the book presents the internet stability to efficient methods population immunization. The book also demonstrates the usage of theoretical methods and the experimental and analytical results hence obtained as a result of complex networks study and research. This book is very useful for graduate students and the review question at the end of the chapter facilitates their understanding.

4. “MACHINE LEARNING IN COMPLEX NETWORKS” by HRISTIANO SILVA

“Machine Learning in Complex Networks” Book Review: This book offers an overview on complex networks and network-based machine learning. It also specifies various techniques for non-supervised, semi-supervised, and supervised learning on complex networks. The book provides an analytical approach to understanding data reliability issues and hybrid classification techniques for both high and low order learning. The book seamlessly integrates essential concepts of complex networks and machine learning, making it an ideal read for students, researchers and professionals from computer science and engineering fields.

5. “Managing Complex Networks: Strategies for the Public Sector” by Koppenjan Klijn Kickert

“Managing Complex Networks: Strategies for the Public Sector” Book Review: This book aims to provide an overview of the strategies of the management of policy networks along with a thorough analysis of its fundamental concepts and contribution to policy failure. The book also vividly illustrates the different strategies that can be applied for failure intervention. This book can be used as a reference by students and professionals alike.

6. “Long Range Interactions in Complex Networks” by Kalala Mutombo Franck

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“Long Range Interactions in Complex Networks” Book Reviews: This book deals with Long Range Interactions (LRI), i.e. how interactions are transmitted from one node to others when they are not directly connected to it. It provides a detailed analysis on the implementation of LRI approach on a Susceptible-Infected-Susceptible (SIS) model which accounts for the spread of infection in complex networks. A study on conductance is also provided to help control the feasibility of such occurrences.

7. “Analysis, Structure and Organization of Complex Networks” by Faraz Zaidi

“Analysis, Structure and Organization of Complex Networks” Book Review: This book is a thesis on the analysis and mining of complex networks by initiating a visual analytics method. This method involves comparative study of different networks to find out their similarities and dissimilarities. The book also analyzes how, based on the suggested method, building visualization and clustering methods leads to compelling results.

8. “Dynamics on and of Complex Networks” by Mukherjee Deutsch Ganguly

“Dynamics On and Of Complex Networks” Book Review: This book presents the statistical dynamics on and of complex networks with relevance to several scientific fields. The book intends to promote cross-research in multiple scientific areas. Man-made complex network systems like peer-to-peer networks and the World Wide Web have been covered in detail. The text also includes natural complex network systems such as linguistic systems, genetic pathways, social systems, and ecological networks. The updated research and survey presented in this volume illustrates the advantages of using complex networks to deal with tough problems across multiple domains. Novices, graduate students, researchers and practitioners will find this book to be an ideal read.

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9. “LECTURES ON COMPLEX NETWORKS OMSP C” by Dorogovtsev

“Lectures on Complex Networks” Book Review: This book offers the underlying principles behind the science of complex networks. From its history to the recent advancements made in the field of network studies, the book successfully covers it all in a comprehensive yet concise manner. This book is intended for undergraduate or graduate students who need an introduction to all the basics of complex networks while learning about the recent research conducted in this field.

10. “Complex Networks: An Algorithmic Perspective” by Erciyes Kayhan Erciyes

“Complex Networks: An Algorithm Perspective” Book Review: This book offers an introduction to graph theory and essential theoretical algorithmic knowledge to fully comprehend complex networks. Static properties of complex networks have been thoroughly analyzed using distributed and parallel algorithms. Numerous case studies are also included to demonstrate the advantages of applying algorithms in social networks, computer networks, protein interaction networks, and other real-world networks. The summaries and review questions provided at the end of each chapter makes this a suitable read for students and researchers having prerequisite knowledge about algorithms and basic discrete mathematics.

11. “Control Techniques for Complex Networks” by Sean Meyn

“Control Techniques for Complex Networks” Book Review: Initially the book features chapters on exposure to stochastic processes and linear algebra for undergraduate level and further moves to chapters for advanced graduate students, researchers and practitioners. The book maintains a balance between classical theory and the state-of-the-art. It describes lyapunov functions, dynamic programming equations, methods for synthesizing hedging and safety stocks, stability theory for networks, and techniques for accelerated simulation. The book contains many examples, figures and exercises along with its solutions.


2. Complex Network Theory

1. “Principles of Systems Science (Understanding Complex Systems)” by George E Mobus and Michael C Kalton

“Principles of Systems Science (Understanding Complex Systems)” Book Review: This book will be helpful to the undergraduate students of systems science and various other disciplines. The book is a complete and comprehensive introduction to systems structure, functions and modelling of science and engineering. It consists of in-depth theoretical concepts. It also contains graphs, illustrations, examples and unsolved problems. These are provided for better understanding of the subject. It addresses a wide range of open-ended questions and provides opportunity to make a research about the subject.

2. “Foundations of Network Optimization and Games (Complex Networks and Dynamic Systems)” by Terry L Friesz and David Bernstein

“Foundations of Network Optimization and Games (Complex Networks and Dynamic Systems)” Book Review: The book is designed for the undergraduate students of engineering science and also for the doctoral courses of engineering. It can also be useful to industrial and university researchers related to mathematical modelling and analysis. The book is all about the infrastructure that is intrinsically nonlinear. It also includes a lot of solved examples ranging from easy to critical.

3. “Complex Systems and Networks (Understanding Complex Systems)” by Jinhu Lü and Xinghuo Yu

“Complex Systems and Networks (Understanding Complex Systems)” Book Review: The book consists of state-of-the-art research results of sciences on complex networks. This book includes topics like dynamics of complex networks, kernel spectral methods etc. It also elaborates topics such as deflection routing in complex networks, recommender systems for social networks analysis and mining etc.

4. “Intentional Risk Management through Complex Networks Analysis (SpringerBriefs in Optimization)” by Victor Chapela and Regino Criado

“Intentional Risk Management through Complex Networks Analysis (SpringerBriefs in Optimization)” Book Review: This book will be a guide to students of graduation and researchers related to cyber-security and complex network applications. The contents of the book is a blend of game theory and complex networks to study intentional technological risk modelling.

People who are searching for Free downloads of books and free pdf copies of these books on Complex Networks – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Complex Networks” so that one can readily see the list of top books on “Complex Networks” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Complex Networks subject, please let us know.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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