追踪学术动态：对八种资源类型间的多元关系进行深度加工，形成以学者为中心，各类学术资源互联互通的多源异构网络。
揭示学术关系：以共现关系为基础，分析学者合著、机构合作等现象，深入揭示以合作为基础的学术关系，发现更多优质的学术团体。
深度知识关联：在3亿引文数据量的支撑下，各类基于引文的关联关系得以充分展示，以辅助学者进行深度的知识关联、知识挖掘分析。
Tracking Academic Dynamics: In-depth processing of the diverse relationships among eight types of resources, forming a multi-source network centered on scholars and their interconnected academic resources.
Revealing Academic Relationships: Analyzing phenomena such as co-authorship and institutional cooperation based on co-occurrence relationships, this approach deeply reveals academic relationships through collaboration, uncovering more high-quality academic groups.
Deep Knowledge Association: Supported by 300 million citation data, various citation-based associative relationships are fully displayed, assisting scholars in deep knowledge association and knowledge mining analysis.
