Network theory

Economics of networks

Economics of networks is a discipline in the fields of economics and network sciences. It is primarily concerned with the understanding of economic phenomena by using network concepts and the tools of network science. Prominent authors in the field include Sanjeev Goyal, Matthew O. Jackson, and Rachel Kranton. This term should not be confused with network economics or network externality. (Wikipedia).

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Welcome - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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the Internet (part 2)

An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org

From playlist The Internet

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Network Security, Part 1 : Basic Encryption Techniques

Fundamental concepts of network security are discussed. It provides a good overview of secret Key and public key Encryption. Important data encryption standards are presented.

From playlist Network Security

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Network Analysis. Course introduction.

Introduction to the Social Network Analysis course.

From playlist Structural Analysis and Visualization of Networks.

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the Internet (part 1)

An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org

From playlist The Internet

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Networking

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Networking

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Introduction to SNA. Lecture 1. Introduction to Network Science

Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture1.pdf Introduction to network science. Examples.

From playlist Introduction to SNA

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NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Towards Human Behavior...

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Towards Human Behavior Understanding from Pervasive Data: Opportunities and Challenges Ahead by Nuria Oliver Nuria Oliver is currently the Scientific Director for the Multimedia, HCI

From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop

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The Problem of Governance in Distributed Ledger Technologies - Professor Vili Lehdonvirta, OII

Prof. Vili Lehdonvirta is an Associate Professor, Senior Research Fellow, and DPhil Programme Director at the Oxford Internet Institute, University of Oxford, and a Faculty Fellow of the Alan Turing Institute. Previously he worked at London School of Economics, University of Tokyo, and He

From playlist Cryptocurrencies and Beyond Workshop

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NOTACON 4: Open Source Economic Development

Speaker: Ed Morrison Open Source Economic Development is a set of models, tools and disciplines that enable diverse groups of people to engage in complex development projects in "the civic space". It's based on the open source software development model, which encourages the formation of

From playlist Notacon 4

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Blockchain Technology Explained (2 Hour Course)

Blockchain Technology Course will cover: - Technology overview - Blockchain evolution - Decentralized web - Distributed organizations - Distributed ledger - Smart contracts - Distributed applications - Internet of value - Token economies **** INTERESTED IN THE STOCK MARKET? I developed a

From playlist Blockchain

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Interpretable Neural Networks for Panel Data Analysis in Economics | AISC

For slides and more information on the paper, visit https://ai.science/e/interpretable-neural-networks-for-panel-data-analysis-in-economics--fr9lyZxVFVPjoniQb1uR Speaker: Yucheng Yang; Host: Jiri Stodulka Motivation: Even though deep learning and sufficient amount of data may lead to st

From playlist ML in Economics

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11. Blockchain Economics

MIT 15.S12 Blockchain and Money, Fall 2018 Instructor: Prof. Gary Gensler, Rob Gensler View the complete course: https://ocw.mit.edu/15-S12F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn In this video, Prof. Gary Gensler discusses the economi

From playlist MIT 15.S12 Blockchain and Money, Fall 2018

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Theoretical Computer Science and Economics - Tim Roughgarden

Lens of Computation on the Sciences - November 22, 2014 Theoretical Computer Science and Economics - Tim Roughgarden, Stanford University Theoretical computer science offers a number of tools to reason about economic problems in novel ways. For example, complexity theory sheds new light

From playlist Lens of Computation on the Sciences

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ETH Lec 10. Competition and Cooperation III: Strategic Network Formation (03/05/2012)

(Unfortunately, Lecture 8 is missing) Course: ETH - Collective Dynamics of Firms (Spring 2012) From: ETH Zürich Source: http://www.video.ethz.ch/lectures/d-mtec/2012/spring/363-0543-00L/b0cfc537-1b86-4d4c-88c3-ce932c1156c1.html

From playlist ETH Zürich: Collective Dynamics of Firms (Spring 2012) | CosmoLearning.org Finance

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Research Working Session: Tuesday, June 21, 2022 [Multicomputation]

This a research session on Multicomputation and Economic Modeling. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram here: https://www.twitch.tv/stephen_wolfram/ Fo

From playlist Science and Research Livestreams

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Neural Network Overview

This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

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Kipp Bradford: "The Future is Solid..." - Solid 2014 Keynote

From the 2014 Solid Conference: Kipp Bradford's Keynote talk, "The Future is Solid - Radical Mechanisms of Economic Change". In this talk, Kipp Bradford, founder of The Kippworks, explores how scaling upwards and creating networks out of smaller elements can create new, previously unseen

From playlist Solid Conference 2014

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