Algorithm of community detection based on data fields
一种基于数据场的社区发现算法*

This paper proposed an algorithm of community detection based on data fields(CDDF). CDDF selected the vertices with the largest energy as center in community, and then processed the partition of community iterated. Experiments prove that using the potential function CDDF can deal with the problem of a reasonable initial conditions selection in community detection, avoid the impact of noise, and has good performance.