human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "open research knowledge graph towards machine actionability in scholarly communication"
  Abstract: Despite improved findability of and access to scientific knowledge in recent decades, scholarly communication continues to be document-based. Scientific knowledge remains locked in representations that are inadequate for machine processing. In this article, we present initial steps towards next generation digital libraries and infrastructures that acquire, curate, publish and process scholarly knowledge semantically, in machine readable form leveraging knowledge graphs. The primary contribution of this work is to present and discuss early developments of a system designed to crowdsource machine readable descriptions of research contributions published in scholarly articles and a knowledge graph infrastructure for description storage and access. We report on the results of a first experimental evaluation of the concept and its implementation with the participants of a recent international conference. The results suggest that users find such a system useful, and the possibilities it could enable intriguing.

Connected through hyperedge HE-1 (induced by source paper "a novel kuhnian ontology for epistemic classification of stm scholarly articles"):
  with members:
    - "measuring academic influence not all citations are equal"
    - "impact factor outdated artefact or stepping stone to journal certification"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DL(Digital Libraries)