Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …

There are numerous factors affecting online retail behavior, which are discovered in the last
two decades, but no previous study has compiled the scientific literature on social influence …

While social media platforms are often assumed to be sites of speaking, they are also
important sites of knowing, where businesses use content produced by individuals in order …

Abstract Information cascade size prediction is one of the primary challenges for
understanding the diffusion of information. Traditional feature‐based methods heavily rely …

Some governments have proven social media's potential to generate value through co-
creation and citizen participation, and municipalities are increasingly using these tools in …

Missing Data (MD) is a widespread problem that can affect the ability to use data to construct
effective software development effort prediction systems. This paper investigates the use of …

社会网络节点影响力研究是社会网络分析的关键问题之一. 过去的10 多年间,
随着在线社会网络的快速发展, 研究人员有机会在大量现实社会网络上对影响力进行分析和建模 …

社会网络节点影响力研究是社会网络分析的关键问题之一. 过去的 10 多年间,
随着在线社会网络的快速发展, 研究人员有机会在大量现实社会网络上对影响力进行分析和建模 …

The continuous professional development of teachers is a pivotal element in the provision of
high-quality education. Informal social networking sites (SNS), such as Twitter, can …

Academic social network analysis has attracted significant attention. For each researcher in
such a network, he/she has several research interests. We regard these researchers sharing …