Unraveling the Dynamics of Stable and Curious Audiences in Web Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00381148" target="_blank" >RIV/68407700:21240/24:00381148 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3589334.3645473" target="_blank" >http://dx.doi.org/10.1145/3589334.3645473</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3589334.3645473" target="_blank" >10.1145/3589334.3645473</a>
Alternative languages
Result language
angličtina
Original language name
Unraveling the Dynamics of Stable and Curious Audiences in Web Systems
Original language description
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 model consists of two hidden, interacting processes: a self-feeding process (SFP) that generates bursty behavior related to viral threads, and a non-homogeneous Poisson process (NHPP) with step function intensity that is influenced by the bursts from the SFP. The NHPP models the normal background behavior, driven solely by the overall popularity of the topic among the stable audience. Through extensive empirical work, we have demonstrated that our model fits and characterizes a large number of real datasets more effectively than state-of-the-art models. Most importantly, BPoP can quantify the stable audience of media channels over time, serving as a valuable indicator of their popularity.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the ACM Web Conference 2024
ISBN
979-8-4007-0171-9
ISSN
—
e-ISSN
—
Number of pages
12
Pages from-to
2464-2475
Publisher name
ACM
Place of publication
New York
Event location
Singapore
Event date
May 13, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—