网络数据科学实验室旨在从网络的视角来观察现实世界中的各种复杂系统，并用真实数据对这些系统进行建模，进而利用并发展网络科学和数据科学的理论、方法以及工具来更好地理解这个世界中各种复杂系统内部的联系并揭示它们的运行规律。 实验室现有教师和学生共8人，其中副研究员1人，博士生2人，硕士生1人，本科生4人。实验室的主要研究方向为图数据挖掘、图表示学习、社交网络分析、异常检测等，已在国内外期刊上发表学术论文30余篇。

Network data science lab (NDSL) focuses on the intersection researches of network science and data science. It aims to observe complex systems from the perspective of network, depict actual systems with real data, and use and develop the theories, methods and tools of network science and data science to better understand the internal relations of various complex systems in our world and reveal their evolution mechanisms. There are 8 teachers and students in the lab, including 1 associate researcher, 2 PhD students, 1 master student, and 4 undergraduate students. The main research interests of the lab are graph data mining, graph representation learning, social network analysis, anomaly detection, etc. The lab has published more than 30 academic papers in domestic and international journals.