Efficient Community Search Based on Relaxed k-truss Index

Efficient Community Search Based on Relaxed k-truss Index

Explore a 19-minute conference presentation from SIGIR 2024 that delves into efficient community search techniques using relaxed k-truss indexing in network and graph analysis. Learn from researchers Xiaoqin Xie, Shuangyuan Liu, Jiaqi Zhang, Shuai Han, Wei Wang, and Wu Yang as they present their findings on optimizing community detection algorithms through advanced indexing methods. Gain insights into the latest developments in network analysis and community search optimization techniques presented at this ACM-sponsored conference session.