生态学视角下主题网站群发现算法的研究

The Research on the Algorithm of Topic- Web Group Discovery on the View of Ecology

以相关度较高的主题网站构成的群落,其分布呈现出显著的生态学特性为理论依据,采用链接分析方法,对主题网站的评价指标以及主题网站之间的关联关系进行研究和分析,提出实用性,相似度,递减度和影响力等主题网站的评价指标,并依据该评价指标,以广度优先为原则,设计主题网站群发现的算法。结果表明,该算法是有效和可行的。

The distribution of topic - web group consisting of the high degree of correlation topic websites shows sig- nificant ecological characteristics, which is taken as the theoretical basis. Based on the studying and analyzing the evaluation indexes of topic webs and the relationship between them, using link analysis method, this paper presents evaluation indexes, including usefulness, similarity, degression and influence, and so on. According to the evalua- tion indexes, the paper designs the algorithm of topic - web group discovery on principle of breadth priority. The results show that the algorithm is valid and feasible.