/explore
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www.johnnylogic.org | ||
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faculty.ucr.edu
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| | | | | [AI summary] This chapter introduces methods for analyzing the social structure and macro-level embedding of individuals within dyads, triads, clusters, and larger groups using metrics like density, reciprocity, transitivity, clustering, and hierarchy. | |
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www.jeremykun.com
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| | | | | Graphs are among the most interesting and useful objects in mathematics. Any situation or idea that can be described by objects with connections is a graph, and one of the most prominent examples of a real-world graph that one can come up with is a social network. Recall, if you aren't already familiar with this blog's gentle introduction to graphs, that a graph $ G$ is defined by a set of vertices $ V$, and a set of edges $ E$, each of which connects two vertices. | |
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www.adamconrad.dev
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| | | | | Follow along with Steven Skiena's Fall 2018 algorithm course applied to the JavaScript language. | |
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mintzberg.org
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