Abstract：As propelled by the rapid growth of text data, it is urgent to utilize automated tools to monitor the user relationship, topic trend and the implying values of the platforms. A new modeling framework based on LDA is proposed to evaluate the social networks automatically. The authors first map the text into topic space, eliminating the uncorrelated information based on topic distribution and user feature, then create an evaluation method from social network analysis perspective, mining the structure of the social network from three aspects including user centrality, topic popularity and community activity. Experiments show that promising results are achieved by the new model.
王嘉琦, 徐朝军, 李艺. 基于LDA模型的社交网站自动量化评价研究[J]. 现代图书情报技术, 2013, 29(3): 58-64.
Wang Jiaqi, Xu Chaojun, Li Yi. Quantified Evaluation for Social Networks Based on LDA Model. New Technology of Library and Information Service, 2013, 29(3): 58-64.
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