Community detection methods can discover better structural clusters than ground-truth communities Article Swipe

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Vinh-Loc Dao , Cécile Bothorel , Philippe Lenca ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1145/3110025.3110053

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Benchmarking Computer science Ground truth Common ground Task (project management) Community structure Complex network Data science Order (exchange) Artificial intelligence Machine learning Data mining Sociology Engineering Mathematics World Wide Web Systems engineering Communication Marketing Finance Economics Combinatorics Business

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1145/3110025.3110053
OA Status: green
Cited By: 8
References: 37
Related Works: 10
OpenAlex ID: https://openalex.org/W2752526712

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DOI: https://doi.org/10.1145/3110025.3110053

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Title: Community detection methods can discover better structural clusters than ground-truth communities

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Type: preprint

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Language: en

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Publication year: 2017

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Publication date: 2017-07-31

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Authors: Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca

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Landing page: https://doi.org/10.1145/3110025.3110053

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Concepts: Benchmarking, Computer science, Ground truth, Common ground, Task (project management), Community structure, Complex network, Data science, Order (exchange), Artificial intelligence, Machine learning, Data mining, Sociology, Engineering, Mathematics, World Wide Web, Systems engineering, Communication, Marketing, Finance, Economics, Combinatorics, Business

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Cited by: 8

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primary_location.raw_source_name	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
primary_location.landing_page_url	https://doi.org/10.1145/3110025.3110053
publication_date	2017-07-31
publication_year	2017
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