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Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg

Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg
In recent years there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else. Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. The book is based on an inter-disciplinary course that we teach at Cornell. The book, like the course, is designed at the introductory undergraduate level with no formal prerequisites.

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neuralview [OProj - Open Source Software] Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams! Sign up for freeClose NeuralView is a graphical interface for FANN 1, making possible to graphically design, train, and test artificial neural networks. Top 10 Literary Websites: 2013 edition! In 2010, I wrote the most popular post on Category Thirteen, ever. I listed my Top 10 Literary Websites and, apparently, people really dug that topic — enough, at least, that they ended up on my site and must’ve told others about it. Well, it’s 2013 and I’ve realized something: I was a slacker for 2011 and 2012 (among many other things, obvi.). Network scientists at Harvard: Nicholas Christakis, Laura Bogart, Martin Nowak If a campaign volunteer shows up at your door, urging you to vote in an upcoming election, you are 10 percent more likely to go to the polls—and others in your household are 6 percent more likely to vote. When you try to recall an unfamiliar word, the likelihood you’ll remember it depends partly on its position in a network of words that sound similar. And when a cell in your body develops a cancerous mutation, its daughter cells will carry that mutation; whether you get cancer depends largely on that cell’s position in the network of cellular reproduction.

Social Network Knowledge Construction: Emerging Virtual World Pedagogy (Lisa Dawley) 2. Tools for social networking A social networking site is an online site where a user can create a profile and build apersonal network that connects him or her to other users for a variety of professional orpersonal reasons. Learning and neural networks Artificial Intelligence: History of AI | Intelligent Agents | Search techniques | Constraint Satisfaction | Knowledge Representation and Reasoning | Logical Inference | Reasoning under Uncertainty | Decision Making | Learning and Neural Networks | Bots An Overview of Neural Networks[edit] The Perceptron and Backpropagation Neural Network Learning[edit] Single Layer Perceptrons[edit]

Steffen Wischmann - Research Social behavior can be found on almost every level of life, ranging from microorganisms to human societies. However, explaining the evolutionary emergence of cooperation, communication, or competition still challenges modern biology. The most common approaches to this problem are based on game-theoretic models. Paris Review Daily - Blog, Writers, Poets, Artists - Paris Review Donald Barthelme would’ve been, and should be, eighty-three today. It would be an exaggeration to say that I feel the absence of someone whom I never met—someone who died when I was three—but I do wonder, with something more than mere curiosity, what Barthelme would have made of the past twenty-odd years. These are decades I feel we’ve processed less acutely because he wasn’t there to fictionalize them: their surreal political flareups, their new technologies, their various zeitgeists and intellectual fads and dumb advertisements. Part of what I love about Barthelme’s stories is the way they traffic in cultural commentary without losing their intimacy, their humanity. But I’m losing the thread.

Reader's Circle · gephi/gephi Wiki On this page we collect links worth reading or reputed worth reading. Everybody may add interesting content, that is not necessarily referenceable, but provides some information around Network Science, Information Visualization and Programming to the reader. Most books are available in our Amazon Store. Network theory

Twitter: A Day in the Life [INFOGRAPHIC] Woke up, fell out of bed...checked my Twitter right away. Sound familiar? The microblogging network is core to many of our digital lives and content consumption habits. But what really goes on in the Twitter world on a given day? One thing is for sure: What happens on Twitter doesn't stay on Twitter, and people use it to send link flying about the web like mad. DARPA SyNAPSE Program Last updated: Jan 11, 2013 SyNAPSE is a DARPA-funded program to develop electronic neuromorphic machine technology that scales to biological levels. More simply stated, it is an attempt to build a new kind of computer with similar form and function to the mammalian brain.

Zachman Framework The Zachman Framework of enterprise architecture The Zachman Framework is not a methodology in that it does not imply any specific method or process for collecting, managing, or using the information that it describes.;[2] rather, it is an Ontology whereby a schema for organizing architectural artifacts (in other words, design documents, specifications, and models) is used to take into account both whom the artifact targets (for example, business owner and builder) and what particular issue (for example, data and functionality) is being addressed.[3] The framework is named after its creator John Zachman, who first developed the concept in the 1980s at IBM.

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