書誌事項
- タイトル別名
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- Analysis and Modeling of Social Tagging Using Yule–Simon Process
抄録
<p>Social tagging systems is a system that shares online contents and gives a user arbitrary character string (i.e., tag). Many Web services such as Flickr, Twitter, Instagram, Facebook are adopting social tagging system. It is reported that the process of tag growth can be roughly approximated by the Yule–Simon process. On the other hand, the growth of individual tags has also been analyzed. If it follows Yule–Simon process, the probability distribution of deviation can be obtained analytically. However, it is not well studied how the growth of individual tags in the actual social tagging system deviates from the prediction value of the Yule–Simon process. In this paper, we analyze the growth of individual tags of the social tagging system focusing on deviation from Yule–Simon process. Moreover, we propose a model that modifies the Yule–Simon process and explore a more detailed mechanism of tag generation and selection.</p>
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 34 (4), C-IC3_1-8, 2019-07-01
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390845713080274304
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- NII論文ID
- 130007674567
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可