Best Graph Theory Books
Here you will get Best Graph Theory Books For you.This is an up-to-date list of recommended books.
1. Graph Paper Composition Notebook: Grid Paper Notebook, Quad Ruled, 100 Sheets (Large, 8.5 x 11) (Graph Paper Notebooks)
Author: by Joyful Journals
Published at: CreateSpace Independent Publishing Platform (August 2, 2018)
5×5 Graph Paper Composition Notebook:Perfect for math, science, school, college, drawing, writing, to-do lists, and more! About this notebook:Length: 103 Pages – Surprise Gift on the Last PagePaper: Good Quality White, Quad Ruled PaperSize: 8.5 x 11 IN / 21.59 x 27. 94 CMCover: High Quality Matte Soft CoverBinding: Professional Paperback Binding, Non-Perforated PagesScroll up and click ‘buy’ to get yours now!
3. Beautiful Evidence
Author: by Tufte
Published at: Graphics Press; First Edition (May 30, 2006)
Science and art have in common intense seeing, the wide-eyed observing that generates visual information. Beautiful Evidence is about how seeing turns into showing, how data and evidence turn into explanation. The book identifies excellent and effective methods for showing nearly every kind of information, suggests many new designs (including sparklines), and provides analytical tools for assessing the credibility of evidence presentations (which are seen from both sides: how to produce and how to consume presentations).
For alert consumers of presentations, there are chapters on diagnosing evidence corruption and PowerPoint pitches. Beautiful Evidence concludes with 2 chapters that leave the world of pixel and paper flatland representations – and move onto seeing and thinking in space land, the real-land of three-space and time.
4. Show Me the Numbers: Designing Tables and Graphs to Enlighten
Author: by Stephen Few
Published at: Analytics Press; Second edition (June 1, 2012)
Most presentations of quantitative information are poorly designedpainfully so, often to the point of misinformation. This problem, however, is rarely noticed and even more rarely addressed. We use tables and graphs to communicate quantitative information: the critical numbers that measure the health, identify the opportunities, and forecast the future of our organizations.
Even the best information is useless, however, if its story is poorly told. This problem exists because almost no one has ever been trained to design tables and graphs for effective and efficient communication. Show Me the Numbers: Designing Tables and Graphs to Enlighten is the most accessible, practical, and comprehensive guide to table and graph design available.
The second edition of Show Me the Numbers improves on the first by polishing the content throughout (including updated figures) and adding 91 more pages of content, including: 1) A new preface; 2) A new chapter entitled “Silly Graphs That Are Best Forsaken,” which alerts readers to some of the current misuses of graphs such as donut charts, circle charts, unit charts, and funnel charts; 3) A new chapter about quantitative narrative entitled “Telling Compelling Stories with Numbers”; and 4) New appendices entitled “Constructing Table Lens Displays in Excel,” “Constructing Box Plots in Excel,” and “Useful Color Palettes.”
5. A Programmer's Guide to Computer Science: A virtual degree for the self-taught developer
Author: by Dr. William M Springer II
Published at: Jaxson Media; Illustrated edition (July 28, 2019)
You know how to code……But is it enough? Do you feel left out when other programmers talk about asymptotic bounds? Have you failed a job interview because you don’t know computer science? Volume one covers the most frequently referenced topics, including: – Algorithms and data structures – Graphs – Problem-solving techniques – Complexity theory The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree.
When you finish this book, you’ll have the tools you need to hold your own with people who have – or expect you to have – a computer science degree. Don’t let the lack of a degree hold back your career.
Dive into this book now.
6. Introduction to Graph Theory (Dover Books on Mathematics)
Author: by Richard J. Trudeau
Published at: Dover Publications; 2nd edition (February 9, 1994)
A stimulating excursion into pure mathematics aimed at “the mathematically traumatized,” but great fun for mathematical hobbyists and serious mathematicians as well. Requiring only high school algebra as mathematical background, the book leads the reader from simple graphs through planar graphs, Euler’s formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, and a discussion of The Seven Bridges of Konigsberg.
Exercises are included at the end of each chapter. “The topics are so well motivated, the exposition so lucid and delightful, that the book’s appeal should be virtually universal … Every library should have several copies” Choice.1976 edition.
7. Graph Paper Composition: 8.5 x 11 Inch Notebook With 100 Pages
Author: by TMB
Published at: Independently published (January 9, 2021)
Grab Yours Today!Special LaunchAbout this notebook:100 graph ruled pagesGrid ruled on both sides with thin blue linesPerfect for architects, artists, and any drawing activitiesHigh-quality matte cover for a professional finishPerfect size at 8.5 x 11 in / 21.59 x 27. 94 cm – Larger than mostClick buy to get yours today!
8. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Author: by JD Long
Published at: O'Reilly Media; 2nd edition (July 16, 2019)
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately.
Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started.
If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functionsSimplify data input and outputTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data
9. Graph Paper Notebook: 100 Pages / Quad Ruled 1/2 Inch Squares / Math Grid Paper Notebook 2 Squares Per Inch For Kids (Composition Books, Large 8.5” X 11”)
Author: by Helena Jones
Published at: Independently published (July 3, 2020)
Graph Paper Composition Notebook, Journal, Diary 1/2 Inch Squares Soft Cover Non-Perforated Non-SpiralMakes a wonderful daily graph/grid notebook to draw, write, journal, take notes, make lists, and much more creativity! Wonderful as a gift, present, or personal notebook! About this notebook:100 graph ruled pagesGrid ruled on both sides with thin gray linesPerfect size at 8.5 x 11 in / 21.59 x 27.
94 cmHigh quality paper Minimal ink bleed-throughSoft matte cover bound Non-spiralPerfect for architects, artists, and any drawing activitiesGood quality white paper perfect for drawing, math, graphing and science design
11. Dotted Paper 8.5 X 11: Dotted Notebook Paper Letter Size | Bullet Dot Grid Graphing Pad Journal With Page Numbers For Drawing & Note Taking (Dot Graph Paper Notebook)
Author: by M.J. Brixey
Published at: Independently published (April 1, 2019)
This Dotted Paper 8. 5 X 11 Notebook contains dot grid paper with 110 pages, measuring at 8.5 x 11 inch (21.59cm x 27.94cm). White paper quality is good for writing, drawing, sketching, journaling, take notes, etc with pen or pencil in a daily used. Dot graph have each spaced 5mm (1/5 inch) with thin and light gray color so you can easily to write, draw in correct shape with dot.
Soft cover (Matte finish). This notebook is perfect for people who want to create to do lists, set goals and habit tracking, plan things, be organized, doodle, bullet journaling, calligraphy, hand lettering and be creative in any possible way. You can cut it out to use as loose leaf paper.
Details:Total 110 pagesBound Notebook – Non-perforatedPaper size 8.5 X 11 Inch (21.59cm X 27. 94cm)White paper with dotted graph, Each spaced 5mm (1/5 Inch)Soft cover with glossy finishNumbered pages
12. Proofs from THE BOOK
Author: by Martin Aigner
Published at: Springer; 6th ed. 2018 edition (July 6, 2018)
This revised and enlarged sixth edition of Proofs from THE BOOK features an entirely new chapter on Van der Waerden’s permanent conjecture, as well as additional, highly original and delightful proofs in other chapters. From the citation on the occasion of the 2018 “Steele Prize for Mathematical Exposition” It is almost impossible to write a mathematics book that can be read and enjoyed by people of all levels and backgrounds, yet Aigner and Ziegler accomplish this feat of exposition with virtuoso style.
 This book does an invaluable service to mathematics, by illustrating for non-mathematicians what it is that mathematicians mean when they speak about beauty. From the Reviews”… Inside PFTB (Proofs from The Book) is indeed a glimpse of mathematical heaven, where clever insights and beautiful ideas combine in astonishing and glorious ways.
There is vast wealth within its pages, one gem after another…. Aigner and Ziegler…Write: “… All we offer is the examples that we have selected, hoping that our readers will share our enthusiasm about brilliant ideas, clever insights and wonderful observations.” I do….
13. The Data Science Design Manual (Texts in Computer Science)
Author: by Steven S. Skiena
Published at: Springer; 1st ed. 2017 edition (August 29, 2017)
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.
The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles.
This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an Introduction to Data Science course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own.
14. Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Author: by Mark Needham
Published at: O'Reilly Media; 1st edition (May 26, 2019)
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they’re used for building dynamic network models or forecasting real-world behavior.
Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patternsfrom finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You’ll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.
Learn how graph analytics reveal more predictive elements in today’s dataUnderstand how popular graph algorithms work and how they’re appliedUse sample code and tips from more than 20 graph algorithm examplesLearn which algorithms to use for different types of questionsExplore examples with working code and sample datasets for Spark and Neo4jCreate an ML workflow for link prediction by combining Neo4j and Spark
15. Complex Network Analysis in Python: Recognize – Construct – Visualize – Analyze – Interpret
Author: by Dmitry Zinoviev
Published at: Pragmatic Bookshelf; 1st edition (February 13, 2018)
Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks.
Convert almost any real-world data into a complex network-such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you’re a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you’ll increase your productivity exponentially.
Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience.