The precision of the conventional user identification algorithm is not satisfactory because it
ignores the role of user-generated data in identity matching. In this paper, we propose a …

Nowadays, along with the high development of emerging computational paradigms, more
and more populations have been involved into the social revolution across various …

With the popularization of the Internet and the arrival of the big data era, numerous different
social networks (SNs) have emerged to satisfy users' social needs and offer them rich …

Social networking is an interactive Internet of Things. The symmetry of the network can
reflect the similar friendships of users on different social networks. A user's behavior habits …

Many link prediction algorithms regarding single-layer social networks have been proposed,
and however, how to predict interlayer links in multiplex social networks is still in the initial …

针对主观分配属性项权重的方法忽视了各属性项在身份匹配的应用领域中具有的特殊含义与
作用, 导致识别准确率低的问题, 提出了一种基于信息熵的跨网络用户身份识别算法(IE …

Abstract In the “Internet+ Education” mode, a big data analysis of innovative talents
education model is conducted to improve the quantitative evaluation ability of innovative …

6G will be the next horizon from connected people and things to intelligence-of-everything.
Machine learning (ML) combines artificial intelligence with vehicular edge computing (VEC) …

Profile matching in social networks is a challenging problem. There are many previous
approaches but all of them rely on data, for which there is no ground truth. Profile information …

The existing research on social network alignment using usernames is mainly based on the
similarity between usernames calculated by different classifiers. However, if the number of …