基于评论受众和情感信息的博客社会群体模型
Models of Social Groups in Blogosphere Based on Information about Comment Addressees and Sentiments
摘要：
这项工作涉及的数量，规模和其他特征的群体在博客圈使用一套模型识别社会关系的分析。这些模型在社会关系的识别方面有所不同，受到评论收件人分类方法的影响（他们要么是帖子作者，要么是评论直接针对的评论的作者），以及考虑到词语存在和内涵的统计数据为评论计算的情绪。所选博客门户网站的状态进行了分析，在连续的，部分重叠的时间间隔。使用CPM算法的一个版本识别每个间隔中的组，在此基础上，识别至少存在最小假设持续时间的稳定组。
英文摘要：
This work concerns the analysis of number, sizes and other characteristics of groups identified in the blogosphere using a set of models identifying social relations. These models differ regarding identification of social relations, influenced by methods of classifying the addressee of the comments (they are either the post author or the author of a comment on which this comment is directly addressing) and by a sentiment calculated for comments considering the statistics of words present and connotation. The state of a selected blog portal was analyzed in sequential, partly overlapping time intervals. Groups in each interval were identified using a version of the CPM algorithm, on the basis of them, stable groups, existing for at least a minimal assumed duration of time, were identified.
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