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: "the sociology of scientific validity how professional networks shape judgement in peer review"
  Abstract: Professional connections between the creators and evaluators of scientific work are ubiquitous, and the possibility of bias ever-present. Although connections have been shown to bias predictions of uncertain future performance, it is unknown whether such biases occur in the more concrete task of assessing scientific validity for completed works, and if so, how. This study presents evidence that connections between authors and reviewers of neuroscience manuscripts are associated with biased judgments and explores the mechanisms driving that effect. Using reviews from 7981 neuroscience manuscripts submitted to the journal PLOS ONE, which instructs reviewers to evaluate manuscripts on scientific validity alone, we find that reviewers favored authors close in the co-authorship network by ∼0.11 points on a 1.0–4.0 scale for each step of proximity. PLOS ONE’s validity-focused review and the substantial favoritism shown by distant vs. very distant reviewers, both of whom should have little to gain from nepotism, point to the central role of substantive disagreements between scientists in different professional networks (“schools of thought”). These results suggest that removing bias from peer review cannot be accomplished simply by recusing closely connected reviewers, and highlight the value of recruiting reviewers embedded in diverse professional networks.

Connected through hyperedge HE-1 (induced by source paper "megajournal mismanagement manuscript decision bias and anomalous editor activity at plos one"):
  with members:
    - "the memory of science inflation myopia and the knowledge network"

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)