Inferring the densest multi-profiled cross-community for a user
作者：
Highlights：
• Realistic social structures are multi-profiled cross-communities with adaptive social profiles.
• The most important type of cross-communities are the densest ones with various social profiles.
• We analyze hierarchically overlapped social profiles to detect the most multi-profiled communities.
• We infer a new user’s densest multi-profiled cross-community that matches his own social traits.
• We focus on profiles characterize social traits such as culture, ethnicity, demography, and religion.
摘要
•Realistic social structures are multi-profiled cross-communities with adaptive social profiles.•The most important type of cross-communities are the densest ones with various social profiles.•We analyze hierarchically overlapped social profiles to detect the most multi-profiled communities.•We infer a new user’s densest multi-profiled cross-community that matches his own social traits.•We focus on profiles characterize social traits such as culture, ethnicity, demography, and religion.
论文关键词：Community detection,Social network,Cross-community,Multi-profiled cross-community,Social profile
论文评审过程：Received 19 April 2021, Revised 29 October 2021, Accepted 31 October 2021, Available online 10 December 2021, Version of Record 18 December 2021.
论文官网地址：https://doi.org/10.1016/j.knosys.2021.107681
