多社交网络中用户身份识别方法研究

An Algorithm for Identifying Users across Multiple Online Social Networks

在多社交网络舆情传播研究中,不同社交网络中同一网民身份识别是其关键技术。本文分析多社交网络中网络个体与实际主体之间的对应关系,根据用户注册信息、网络行为以及网络个体间的多种关系,利用文本数据挖掘中的语法模式匹配技术,多维度用户行为特征分析技术、图形图像处理中图像识别匹配技术以及复杂网络中社团结构发现技术,来实现一种半自动化的同一网民身份识别算法。

In the research of muhiple social networks public opinion propagation, the identity of the same Internet users in different social networks is the key technology. In this paper, the relationship between the individual and the actual network entities in a social network is analyzed, according to the user registration information, network behavior and network of relationships between individuals, matching by text data mining in grammatical patterns, multiple dimension analysis of user behavior characteristics and community structure in complex networks, graphics and image processing in image recognition technology, the same users identity identification semi-supervised algorithm is proposed.