TY - JOUR AU - Shi, Wei AU - Wang, Chang-Dong AU - Lai, Jian-Huang PY - 2017 DA - 2017/10/05 TI - Community detection based on influence power JO - Applied Informatics SP - 8 VL - 4 IS - 1 AB - Nowadays, more and more people use social network to share their lives and communicate with each other. In real social network, a person is influenced by others and also influences others at the same time. So the status of a person in the network can be determined by his influence power. In other words, a person with larger influence power always plays more important role and is more likely to act as a core of a community. Different from most of existing community detection algorithms which concentrate on the topology of networks, we propose an algorithm based on influence power to discover potential core members from which the community structure can be revealed. Extensive experiments confirm that our proposed algorithm has good performance in detecting community in real social network. SN - 2196-0089 UR - https://doi.org/10.1186/s40535-017-0037-2 DO - 10.1186/s40535-017-0037-2 ID - Shi2017 ER -