Rumor Forwarding Prediction Model Based on Uncertain Time Series

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Wang, Ruihong, Liu, Fengming
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910447690579968
author Wang, Ruihong
Liu, Fengming
author_facet Wang, Ruihong
Liu, Fengming
contents The rapid spread of rumors in social media is mainly caused by individual retweets. This paper applies uncertainty time series analysis (UTSA) to analyze a rumor retweeting behavior on Weibo. First, the rumor forwarding is modeled using uncertain time series, including order selection, parameter estimation, residual analysis, uncertainty hypothesis testing and forecast, and the validity of using uncertain time series analysis is further supported by analyzing the characteristics of the residual plot. The experimental results show that the uncertain time series can better predict the next stage of rumor forwarding. The results of the study have important practical significance for rumor management and the management of social media information dissemination.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08493
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rumor Forwarding Prediction Model Based on Uncertain Time Series
Wang, Ruihong
Liu, Fengming
Social and Information Networks
Applications
The rapid spread of rumors in social media is mainly caused by individual retweets. This paper applies uncertainty time series analysis (UTSA) to analyze a rumor retweeting behavior on Weibo. First, the rumor forwarding is modeled using uncertain time series, including order selection, parameter estimation, residual analysis, uncertainty hypothesis testing and forecast, and the validity of using uncertain time series analysis is further supported by analyzing the characteristics of the residual plot. The experimental results show that the uncertain time series can better predict the next stage of rumor forwarding. The results of the study have important practical significance for rumor management and the management of social media information dissemination.
title Rumor Forwarding Prediction Model Based on Uncertain Time Series
topic Social and Information Networks
Applications
url https://arxiv.org/abs/2403.08493