点击次数：

论文类型：期刊论文

发表时间：2016-09-01

发表刊物：JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING

收录刊物：SCIE、EI、Scopus

卷号：25

期号：3

页面范围：271-286

ISSN号：1004-3756

关键字：Social tagging systems; tag usage patterns; dynamic model

摘要：Social tagging systems have attracted plenty of research endeavors recently. The dynamic models of tag generation or tag usage are one of the key subjects of inquiry. However, the existing models do not well explain the "staged" power-law distribution of tag usage frequencies as observed in various social tagging systems. To cope with this, a new tag-generation model is proposed in this paper, which is based on a preferential selection mechanism influenced by the combinatorial effects of system recommendation and resource multidimensionality. Furthermore, to validate the model, the simulative results under different parameter combinations are compared with the distributions of tag usage frequencies in datasets from three famous social tagging systems, namely Delicious.com, Last.fm and Flickr. For different categories of resources of the three systems, three tag usage patterns can be identified, namely the power-law distribution with two plateaus, the power-law distribution with one plateau, and the standard power-law distribution. All the three patterns can be well fitted and explained by the proposed model.