然而存在着许多与主题无关的链接，造成了主题漂移。
However, there are a lot of linkages irrelative to topics, which lead to topic drift.
HITS是一种经典的链接分析算法，其主要问题是容易发生主题漂移。
HITS is one of the classical link analysis algorithms, the main problem of it is the topic drift.
传统最大流算法虽然能较好的解决主题漂移问题，但对社区的质量和数量也会带来许多不利的影响。
Although the subject drifting problem can be well solved by the traditional maximum-flow algorithm, but it will also bring a lot of disadvantage influences to the community's quality and quantity.
网页链接的主题相关性影响页面的权威性计算，传统的HITS算法仅从页面的链接结构评估页面的权威性，易导致主题漂移。
The topic relevance of hyperlink affects the authority evaluation, the conventional HITS readily leads to the topic drift occurred by the conventional method of hyperlink induction search.
构建了基于SDD算法的中文农业信息检索实验系统，验证大规模文档集下sdd算法的可行性和“二次主题漂移”模式的可行性。
Building the experiment system based on the SDD and validating the feasibility on large scale documents and "two theme shift" model.
构建了基于SDD算法的中文农业信息检索实验系统，验证大规模文档集下sdd算法的可行性和“二次主题漂移”模式的可行性。
Building the experiment system based on the SDD and validating the feasibility on large scale documents and "two theme shift" model.
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