Rumor detection is an important research topic in social networks, and lots of rumor
detection models are proposed in recent years. For the rumor detection task, structural …

Abstract The Susceptible–Infective–Removed (SIR) model is one of the most widely used
models for the information diffusion research in social networks. Many researchers have …

Weibo, China's largest microblogging platform, has become one of the key information-
sharing platforms in modern society. This study examines topic propagation in relation to …

Identifying public's stances to rumors and detecting rumors' veracity in each rumor
conversation are two closely related tasks for distinguishing fake news on social networks …

Purpose This paper aims to analyze the role of influential nodes on other users on Facebook
social media sites by social and behavioral characteristics of users. Hence, a new centrality …

Rumor detection is a hot research topic in social networks. It is challenging to
simultaneously extract content features and structural features from rumor conversations to …

在线社交网络已经成为当今社会信息传播的重要载体, 形成了与现实世界交互影响的虚拟社会.
大量的研究工作都致力于理解在线社交网络中的信息传播, 包括流行度预测, 传播建模 …

Rumor stance classification is a task for identifying different stances about specific social
media posts, and it is considered as an important step to prevent rumors from spreading …

In recent years, social media has emerged as an important channel for the dissemination of
destination branding. Despite the fact that the dissemination of information through social …

As a large, multiplicative, and diverse system, online social network allows people to study,
share, collaborate, and spread rumors, which leads to the formation of online multiple …