One important task in the study of information cascade is to predict the future recipients of a
message given its past spreading trajectory. While the network structure serves as the …

We study the effects of negative links for the innovation diffusion process. To do so we
employ an agent-based simulation model of a threshold diffusion process. Our results reveal …

The threshold model has been widely adopted as a prototype for studying contagion
processes on social networks. In this paper, we consider individual interactions in groups of …

Most real-world systems evolve over time in which entities and the interactions between
entities are added and removed—new entities or relationships appear and old entities or …

Real social contagion processes usually accompany feedback behaviors, such as people
may give comments after they adopt a new product or watch a new movie, etc. In this paper …

This paper examines the problem of social media special operations and especially induced
support in social media during political election campaigns. The theoretical background of …

The threshold model as a classical paradigm for studying information spreading processes
has been well studied. The main focuses are on how the underlying social network structure …

Network information mining is the study of the network topology, which may answer a large
number of application-based questions towards the structural evolution and the function of a …

For computational social scientists, cascade size prediction and fake news detection are two
primary problems in news diffusion or computational communication research. Previous …

随着微博机器人账户的不断增多, 对其识别检测已成为当前数据挖掘领域的热点问题.
已有的微博机器人识别研究多使用爬取搜集的相关数据, 在小规模平衡分布的机器人与普通用户 …