Semi-supervised graph labelling reveals increasing partisanship in the United States Congress

Semi-supervised graph labelling reveals increasing partisanship in the United States Congress

Abstract Graph labelling is a key activity of network science, with broad practical applications, and close relations to other network science tasks, such as community detection and clustering. While a large body of work exists on both unsupervised and supervised labelling algorithms, the class of r...

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Bibliographic Details
Main Authors: Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel Bean
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Applied Network Science
Subjects:
Community detection
Graph labelling
Random walk
Markov chain
Political networks
Online Access:http://link.springer.com/article/10.1007/s41109-019-0185-5

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http://link.springer.com/article/10.1007/s41109-019-0185-5

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