Research on Node Collaboration Mode Based on Mixed Meta-path
Zhu Xianqiang, Hang Chen, Yuanyuan Guo, Zhou Yun · 2020
To solve the problem of Collaborative Pattern Mining in heterogeneous networks, we propose a collaborative pattern mining model based on mixed meta-path for heterogeneous networks. According to the heterogeneous network structure and information, multiple meta-paths are extracted, and the multiple meta-paths extracted are fused and analyzed. Then, random walk strategy is used to generate a large number of sequences. Frequent item-sets are extracted by the sequences in FP algorithm, and the collaborative patterns of nodes in the network are analyzed. The experimental analysis was carried out in two public data sets, tmdb5000 and DBLP, to verify the validity and scalability of the model.