Paper Info
Title
Credibility Evaluation of Twitter-Based Event Detection by a Mixing Analysis of Heterogeneous Data.
Abstract
Twitter has been recognized as an important data resource for real-time event detection. However, Twitter-based event detection systems cannot guarantee credibility in terms of their detection results. Rumor detection has been studied recently to enable credible event detection. Nevertheless, this problem has not yet been solved because most of the existing studies only focus on the information on...
Year
DOI
Venue
2019
10.1109/ACCESS.2018.2886312
IEEE Access
Keywords
Field
DocType
Twitter,Event detection,Feature extraction,Computer science,Proposals,Delays,Open area test sites
Data mining,Credibility,Computer science,Data resources,Rumor,Feature extraction,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Koichi Sato112413.87
Junbo Wang25416.41
Zixue Cheng341152.10