计算机应用与软件2017，Vol.34Issue(1)：55-61,7.DOI:10.3969/j.issn.1000-386x.2017.01.010
基于用户影响力的微博数据提取算法
MICROBLOG DATA EXTRACTION ALGORITHM BASED ON USER INFLUENCE
摘要
Abstract
As one of the main sources of basic data in public opinion analysis, the microblog is a key problem in data acquisition.For this issue, a data extraction algorithm based on user influence is proposed in order to meet the needs of public opinion system for data.First, the algorithm uses the simulation login technology to obtain the user relationship and builds the user network, and then calculates the user influence with the independent design user influence calculation method in order to establish the influence of microblog features to maximize the ability of the model and dig out the most k nodes.Finally,it uses the conventional crawler technology to climb the corresponding microblog data.Experiments show that this algorithm is able to improve the quality of the data effectively and provide better data support for public opinion analysis.关键词
舆情/微博/数据获取/用户影响力/范围最大化Key words
Public opinion/Microblog/DATA acquision/User influence/Range maximize分类
信息技术与安全科学引用本文复制引用
田霏霏,沈记全..基于用户影响力的微博数据提取算法[J].计算机应用与软件,2017,34(1):55-61,7.基金项目
国家自然科学基金面上项目(61175066). （61175066）
