Unraveling the dynamics of stable and curious audiences in web systems

Unraveling the dynamics of stable and curious audiences in web systems

We propose the Burst-Induced Poisson Process (BPoP), a model designed to analyze time series data such as feeds or search queries. BPoP can distinguish between the slowly-varying regular activity of a stable audience and the bursty activity of a curious audience, often seen in viral threads. Our mod...

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書目詳細資料
Main Authors:	ALVES, Rodrigo, LEDENT, Antoine, ASSUNÇÃO, Renato, VAZ-DE-MELO, Pedro, KLOFT, Marius
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2024
主題:	Time Series Point Processes EM algorithm Databases and Information Systems Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/9304 https://ink.library.smu.edu.sg/context/sis_research/article/10304/viewcontent/3589334.3645473.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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