Research on the Relationship Between Chinese Nicknames and Accounts in Social Networks
Yi Han, Xiangyu Liu, Yanhui Du, Tianliang Lu · Communications in computer and information science · 2022
Abstract With the increasing integration of mobile Internet into people’s daily life, generally a user will register several different network applications at the same time. Therefore, there are many virtual identities belonging to one person on the Internet, and the similarity analysis of cross-platform network identities is of great significance in the field of network security. This paper studied the Chinese user nicknames and virtual identity recognition in domestic social networking. Considering that account nicknames, to some extent, can reflect the characteristics of the account owners’ naming habits and preferences, and that the information of nickname is easier to obtain than other registration information, we collected the nickname information of users who registered on three application platforms: WeChat, Weibo and Alipay. At the same time, according to the characteristics of account nicknames and their probability distribution, we determined the characteristic indicators that can be used to calculate the similarity of nicknames. Finally, this paper optimized the Jaro distance and Jaro-Winkler distance algorithms, and proposed an identity algorithm suitable for domestic social networks, especially calculating the similarity of Chinese nicknames, and verified the effectiveness of the algorithm on the basis of large-scale real data.