Similar Group Finding Algorithm Based on Temporal Subgraph Matching

The similar group search is an important approach for the recommendation system or social network analysis. However, there is a negligence of the influence of temporal features of social network on the search for similarity group. In this paper, we model the social network through the temporal graph and define the similar group in the temporal social network. Then, the T-VF2 algorithm is designed to search the similarity group through the temporal subgraph matching technique. To evaluate our proposed algorithm, we also extend the VF2 algorithm by point-side collaborative filtering to perform temporal subgraph matching. Finally, lots of experiments show the effectiveness and efficient of our proposed algorithm.