计算机工程2012，Vol.38Issue(16)：263-266,4.DOI:10.3969/j.issn.1000-3428.2012.16.069
基于相似性链路预测的大众生产演化特征
Evolution Characteristic of Peer Production Based on Similarity Link Prediction
摘要
Abstract
This paper reveals the preferred mechanism is a significant evolution characteristic of peer production virtual community by the analysis on static structure and dynamic evolution of virtual community. It analyzes the cooperation network of peer production virtual community based on Wiki voting administrators behaviors. The result shows that the contributors behave heterogeneously. It applys the link prediction method based on local information similarity to analyze the potential connection of the network, and finds the preferred mechanism plays an important role in the network formation process. It uses the link prediction method based on path and random walk similarity to analyze the network and reveal Katz index performs better than other indices, and concludes that besides the preferred mechanism, the indirect recommendation is another important evolution characteristic of virtual communities.关键词
大众生产/虚拟社区/复杂网络/链路预测/幂律分布/择优机制Key words
peer production/ virtual community/ complex network/ link prediction/ power law distribution/ preferred mechanism分类
信息技术与安全科学引用本文复制引用
姚灿中,杨建梅..基于相似性链路预测的大众生产演化特征[J].计算机工程,2012,38(16):263-266,4.基金项目
国家自然科学基金资助项目(71173076,71103044) （71173076,71103044）
中央高校基本科研业务费基金资助项目(2011ZB0011) （2011ZB0011）
广东省哲学社会科学“十一五”规划基金资助项目(07GO02) （07GO02）
