Link prediction is the problem of predicting the existence and location of unknown links from
uncertain structural information of a network. Most existing accuracy measures do not …

This article explores information spreading in modern online social networks. According to
the law of information spread in real social networks, information retweeting is divided into …

Many previous studies on link prediction have focused on using common neighbors to
predict the existence of links between pairs of nodes. More broadly, research into the …

The development of social media has provided open and convenient platforms for people to
express their opinions, which leads to rumors being circulated. Therefore, detecting rumors …

With the widespread application of big data and intelligent information systems, the tenant
has become the main form of most scenarios. As a data mining technique, the portrait has …

The real-world network is heterogeneous, and it is an important and challenging task to
effectively identify the influential nodes in complex networks. Identification of influential …

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

It is a common sense that both the formation and dissolution of links are the fundamental
processes of link dynamics in network organization. Previous studies have analyzed the …

The study of the weak-ties phenomenon has a long and well-documented history, the
research into the application of this social phenomenon has recently attracted increasing …

In order to study the information communication ability (ie information conductivity) of
CodePlex C# community, an Open-Source Online Community (OSOC), we first construct the …