| 跨社交网络用户对齐技术综述 |
| |
| 引用本文： | 陈白杨,陈晓亮. 跨社交网络用户对齐技术综述[J]. 西华大学学报(自然科学版), 2021, 40(4): 11-26. DOI: 10.12198/j.issn.1673-159X.3895 |
| |
| 作者姓名： | 陈白杨 陈晓亮 |
| |
| 作者单位： | 西华大学计算机与软件工程学院,四川 成都 610039 |
| |
| 基金项目： | 国家自然科学基金资助项目(61902324)；四川省社科联项目(SC20TJ020) |
| |
| 摘 要： | 随着在线社交网络平台的日益普及,越来越多的用户加入到多个社交网络中,以便获取差异化的网络服务.跨社交网络用户对齐旨在从多个不同社交网络平台上的众多虚拟账户中寻找相同的自然人,这已成为近年来社交媒体研究的一个热点,对跨网络的推荐、链接预测、信息传播等多个研究领域起到重要促进作用.文章回顾了近年来跨社交网络平台用户对齐技术...
|
| 关 键 词： | 跨社交网络 社交网络 用户对齐 用户身份链接 |
| 收稿时间： | 2020-12-06 |
A Survey on User Alignment Across Social Networks |
| |
| CHEN Baiyang,CHEN Xiaoliang. A Survey on User Alignment Across Social Networks[J]. Journal of Xihua University(Natural Science Edition), 2021, 40(4): 11-26. DOI: 10.12198/j.issn.1673-159X.3895 |
| |
| Authors: | CHEN Baiyang CHEN Xiaoliang |
| |
| Affiliation: | School of Computer and Software Engineering, Xihua University， Chengdu 610039 China |
| |
| Abstract: | With the increasing popularity of online social network platforms, users tend to join multiple social networks to enjoy diverse network services. User alignment across social networks aims to seek the same natural person from many virtual accounts on different social platforms. It has become a hot research topic in social media over last years, since it plays a fundamental role in a wide range of research areas, such as cross-network recommendation, link prediction and information diffusion. This paper reviews the main achievements of user alignment across social networks in recent years, and provides options for further research through classifying and summarizing the existing methods. Specifically, we first formally define user alignment problem, then sum up a research framework for user alignment problem, and investigates various available methods and research progress from data preprocessing, candidate generation, labeled data acquisition, feature extraction and alignment algorithm. The mainstream user alignment methods are described in detail from the perspective of rule-based and statistics-based. Later, some available data sets and evaluation metrics are briefly introduced. Finally, we discussed the unsolved problems and future research directions for user alignment across social networks. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《西华大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《西华大学学报(自然科学版)》下载免费的PDF全文 |
|
