CAb-NC: The correspondence analysis based network clustering method

Masaomi Kimura

doi:10.1145/3341161.3342944

CAb-NC: The correspondence analysis based network clustering method

Masaomi Kimura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman’s modularity maximization. However, there has been no unified view of them. In this study, we introduced a new guiding principle based on correspondence analysis to obtain nodes’ coordinates and discussed its equivalence to spectral clustering and its relationship to Newman’s modularity.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
編集者	Francesca Spezzano, Wei Chen, Xiaokui Xiao
出版社	Association for Computing Machinery, Inc
ページ	538-539
ページ数	2
ISBN（電子版）	9781450368681
DOI	https://doi.org/10.1145/3341161.3342944
出版ステータス	Published - 2019 8月 27
イベント	11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 - Vancouver, Canada 継続期間: 2019 8月 27 → 2019 8月 30

出版物シリーズ

名前	Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019

Conference

Conference	11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
国/地域	Canada
City	Vancouver
Period	19/8/27 → 19/8/30

ASJC Scopus subject areas

通信
コンピュータネットワークおよび通信
情報システムおよび情報管理
社会学および政治科学

文献へのアクセス

10.1145/3341161.3342944

他のファイルとリンク

Scopusの出版物のリンク

引用スタイル

Kimura, M. (2019). CAb-NC: The correspondence analysis based network clustering method. In F. Spezzano, W. Chen, & X. Xiao (Eds.), Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 (pp. 538-539). (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341161.3342944

CAb-NC: The correspondence analysis based network clustering method. / Kimura, Masaomi.
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. ed. / Francesca Spezzano; Wei Chen; Xiaokui Xiao. Association for Computing Machinery, Inc, 2019. p. 538-539 (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019).

研究成果: Conference contribution

Kimura, M 2019, CAb-NC: The correspondence analysis based network clustering method. in F Spezzano, W Chen & X Xiao (eds), Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Association for Computing Machinery, Inc, pp. 538-539, 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Vancouver, Canada, 19/8/27. https://doi.org/10.1145/3341161.3342944

Kimura M. CAb-NC: The correspondence analysis based network clustering method. In Spezzano F, Chen W, Xiao X, editors, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Association for Computing Machinery, Inc. 2019. p. 538-539. (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019). doi: 10.1145/3341161.3342944

Kimura, Masaomi. / CAb-NC : The correspondence analysis based network clustering method. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. editor / Francesca Spezzano ; Wei Chen ; Xiaokui Xiao. Association for Computing Machinery, Inc, 2019. pp. 538-539 (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019).

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title = "CAb-NC: The correspondence analysis based network clustering method",

abstract = "Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman{\textquoteright}s modularity maximization. However, there has been no unified view of them. In this study, we introduced a new guiding principle based on correspondence analysis to obtain nodes{\textquoteright} coordinates and discussed its equivalence to spectral clustering and its relationship to Newman{\textquoteright}s modularity.",

author = "Masaomi Kimura",

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AB - Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman’s modularity maximization. However, there has been no unified view of them. In this study, we introduced a new guiding principle based on correspondence analysis to obtain nodes’ coordinates and discussed its equivalence to spectral clustering and its relationship to Newman’s modularity.

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CAb-NC: The correspondence analysis based network clustering method

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

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