A novel social network mining approach for customer segmentation and viral marketing

作者：Helal Nivin A^*; Ismail Rasha M; Badr Nagwa L; Mostafa Mostafa G M

来源：Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery , 2016, 6(5): 177-189.

DOI：10.1002/widm.1183

Emergence of social networks facilitates individuals to communicate, share opinions and form communities. Organizations benefit from social networks in monitoring customers' behavior. Social networks mining and analysis aims to segment customers and determine the most influential actors for viral marketing. In this article, we propose a novel social network mining approach for influential analysis and community detection. The community detection task benefits from the most influential users in the network. The proposed approach identifies the most influential users by using a direct mining leaders discovery algorithm and uses these leaders as core points to expand communities around them. This is based on the observation that communities tend to be formed around users of great influence. Extensive experiments have been completed on a real dataset and results show that our approach can contribute in identifying communities of high quality. WIREs Data Mining Knowl Discov 2016, 6:177-189. doi: 10.1002/widm.1183 For further resources related to this article, please visit the .

• 出版日期2016-10