📖 Read pages 93-112 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

📖 Read pages 93-112 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

An interesting overlap of Bose condensation mathematics and physics into network theory.

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📖 Read pages 79-92 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

📖 Read pages 79-92 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

He’s continuing the evolving story of network research following along some of his own research and that of others. There’s something unsettling or missing here in the jump to preferential attachment. What is causing preferential attachment to occur? This may be a factor of the individual settings in which things are happening, but it feels like a major missing piece from an otherwise organic feeling mathematical/theoretical perspective.

📖 Read pages 13-79 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

📖 Read pages 13-79 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

It’s an interesting overview of the subject of network science and complexity. Potentially good if you know nothing of the area at all, or if you’re about to delve heavily into the topic. I’m breezing through it quickly with an eye toward reading his more technical level networks textbook that came out two years ago as well as some of his papers in the area.

Some of the pieces so far are relatively overwritten given that it’s now more than 15 years later… but the general audience then probably needed the extra back story. The only math so far is at the level of simple logarithms and the few equations are buried in the footnotes.

There are some useful rules of thumb he’s introduced for the generalists and engineers in the crowd like the idea of things that fall into an 80/20 Pareto rule are very likely power law models.

He’s repeated some common stories about Paul Erdős and Alfréd Rényi. I hadn’t heard the story about Erdős saying there were too many plus signs on the Notre Dame campus–that was kind of cute. I did enjoy that he’d dug at least an additional layer deeper to pull up Frigyes Karinthy’s short story “Chains” to introduce the original(?) conceptualization of the idea of Six Degrees of Separation.

I’ll circle back later for additional highlights and annotations.

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📖 Read through page 13 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

📖 Read through page 13 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

So far a very facile opening. Somewhat surprised to see a reference to Jesus and Paul here, but interestingly apropos.

Highlights, Quotes, & Marginalia

Introduction

…the high barriers to becoming a Christian had to be abolished. Circumcision and the strict food laws had to be relaxed.

Highlight (yellow) – 1. Introduction > page 4

Naturally, if you make it easier to be a Christian, then it will be easier to create links and grow the network

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Network Science by Albert-László Barabási

Bookmarked Network Science by Albert-László BarabásiAlbert-László Barabási (Cambridge University Press)

I ran across a link to this textbook by way of a standing Google alert, and was excited to check it out. I was immediately disappointed to think that I would have to wait another month and change for the physical textbook to be released, but made my pre-order directly. Then with a bit of digging around, I realized that individual chapters are available immediately to quench my thirst until the physical text is printed next month.

The power of network science, the beauty of network visualization.

Network Science, a textbook for network science, is freely available under the Creative Commons licence. Follow its development on Facebook, Twitter or by signing up to our mailing list, so that we can notify you of new chapters and developments.

The book is the result of a collaboration between a number of individuals, shaping everything, from content (Albert-László Barabási), to visualizations and interactive tools (Gabriele Musella, Mauro Martino, Nicole Samay, Kim Albrecht), simulations and data analysis (Márton Pósfai). The printed version of the book will be published by Cambridge University Press in 2016. In the coming months the website will be expanded with an interactive version of the text, datasets, and slides to teach the material.

Book Contents

Personal Introduction
1. Introduction
2. Graph Theory
3. Random Networks
4. The Scale-Free Property
5. The Barabási-Albert Model
6. Evolving Networks
7. Degree Correlations
8. Network Robustness
9. Communities
10. Spreading Phenomena
Usage & Acknowledgements
About

Albert-László Barabási
on Network Science (book website)

Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material. The mathematical formulas and derivations are included within Advanced Topics sections, enabling use at a range of levels. Extensive online resources, including films and software for network analysis, make this a multifaceted companion for anyone with an interest in network science.

Source: Cambridge University Press

The textbook is available for purchase in September 2016 from Cambridge University Press. Pre-order now on Amazon.com.

If you’re not already doing so, you should follow Barabási on Twitter.

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