Weibo spammers’ identification algorithm based on Bayesian model
In order to distinguish the spammers efficiently,a classifier based on the behavior characteristics was established.By analyzing the previous research,the ratio of followers,total number of blog posts,the number of friends,comprehensive quality evaluation and favorites according to latest data set,t...
Saved in:
Main Authors: | Yan-mei ZHANG, Ying-ying HUANG, Shi-jie GAN, Yi DING, Zhi-long MA |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2017-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017006/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature importance analysis for spammer detection in Sina Weibo
by: Yu-xiang ZHANG, et al.
Published: (2016-08-01) -
Spammer detection technology of social network based on graph convolution network
by: Qiang QU, et al.
Published: (2018-05-01) -
Spam detection using hybrid model on fusion of spammer behavior and linguistics features
by: Amna Iqbal, et al.
Published: (2025-03-01) -
Louis Vuitton’s Strategies for Enhancing Customers’ Engagement on Instagram and Weibo
by: Xincheng Wu
Published: (2023-09-01) -
STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD
by: GAN Lu, et al.
Published: (2022-01-01)