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faculty.ucr.edu
| | www.johnnylogic.org
4.0 parsecs away

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| | [AI summary] A technical tutorial on network science basics, mathematical representations, analysis methods, and real-world applications presented by a senior data scientist.
| | www.nature.com
4.3 parsecs away

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| | Despite the growing interest in characterizing the local geometry leading to the global topology of networks, our understanding of the local structure of complex networks, especially real-world networks, is still incomplete. Here, we analyze a simple, elegant yet underexplored measure, degree difference (DD) between vertices of an edge, to understand the local network geometry. We describe the connection between DD and global assortativity of the network from both formal and conceptual perspective, and s...
| | bldavies.com
4.6 parsecs away

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| | Earlier this year I joined Motu, an economic and public policy research institute based in Wellington, New Zealand. In this post, I analyse the coauthorship network among Motu researchers based on working paper publications. The data used in my analysis are available here. Collecting and preparing the data Bibliographic data are notoriously uncooperative. Changes in author or institution names make it difficult to uniquely identify researchers across time, reducing data consistency and completeness.
| | coornail.net
17.9 parsecs away

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| Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow.