Abstract: Aiming at the problems of article edit characteristic in wikipedia, under the direction of the idea of networked data mining,featured articles in wikipedia were analysed by text processing to hind the difference of sentence between adjacent versions, the article edit interaction networks were constructed, where the node is editor and the link is the edit interaction connection between editors, then the article edit characteristics in wikipedia were analysed by the empirical analysis of the nine networks. Results show that all networks have small-world properties, strong positive degree strength correlation and negative degre}clustering coefficient distribution, their degree distributions are similar to strength distributions, their cumulate distributions and link weight distribution arc power-law distribution, shortest path length distributions are similar to gauss distribution, all networks have degree and strength disassortativity and weak reciprocity, furthermore the edit collective have strong heterogeneity and community structure, which deepens the knowledge of the process of article edit interaction and collective intelligence.

Key words: Wikipedia, Article edit interaction network, Networked data mining, Collective intelligence