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...

Full description

Saved in:
Bibliographic Details
Main Authors: ALVES, Rodrigo, LEDENT, Antoine, ASSUNÇÃO, Renato, VAZ-DE-MELO, Pedro, KLOFT, Marius
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Time Series
Point Processes
EM algorithm
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/9304
https://ink.library.smu.edu.sg/context/sis_research/article/10304/viewcontent/3589334.3645473.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/9304
https://ink.library.smu.edu.sg/context/sis_research/article/10304/viewcontent/3589334.3645473.pdf

Similar Items