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 fundamentals of policy crowdsourcing"
  Abstract: What is the state of the research on crowdsourcing for policy making? This article begins to answer this question by collecting, categorizing, and situating an extensive body of the extant research investigating policy crowdsourcing, within a new framework built on fundamental typologies from each field. We first define seven universal characteristics of the three general crowdsourcing techniques (virtual labor markets, tournament crowdsourcing, open collaboration), to examine the relative trade-offs of each modality. We then compare these three types of crowdsourcing to the different stages of the policy cycle, in order to situate the literature spanning both domains. We finally discuss research trends in crowdsourcing for public policy, and highlight the research gaps and overlaps in the literature. #R##N#KEYWORDS: crowdsourcing, policy cycle, crowdsourcing trade-offs, policy processes, policy stages, virtual labor markets, tournament crowdsourcing, open collaboration

Connected through hyperedge HE-1 (induced by source paper "the governance of risks in ridesharing a revelatory case from singapore"):
  with members:
    - "crowdsourcing sharing economies and development"
    - "coase s penguin or linux and the nature of the firm"

Connected through hyperedge HE-2 (induced by source paper "next generation crowdsourcing for collective intelligence"):
  with members:
    - "the contours of crowd capability"
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "crowd science measurements models and methods"
    - "reliable diversity based spatial crowdsourcing by moving workers"
    - "prediction based task assignment on spatial crowdsourcing"
    - "wearable computing for health and fitness exploring the relationship between data and human behaviour"
    - "the theory of crowd capital"

Connected through hyperedge HE-3 (induced by source paper "crowd science measurements models and methods"):
  with members:
    - "the contours of crowd capability"
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "health care crowds collective intelligence in public health"
    - "an abstract formal basis for digital crowds"
    - "a computational model of crowds for collective intelligence"
    - "the theory of crowd capital"

Connected through hyperedge HE-4 (induced by source paper "crowdsourcing a new tool for policy making"):
  with members:
    - "next generation crowdsourcing for collective intelligence"
    - "experiments on crowdsourcing policy assessment"
    - "crowdsourcing sharing economies and development"
    - "crowd science measurements models and methods"
    - "the theory of crowd capital"
    - "the labor economics of paid crowdsourcing"

Connected through hyperedge HE-5 (induced by source paper "crowdsourcing sharing economies and development"):
  with members:
    - "experiments on crowdsourcing policy assessment"
    - "the theory of crowd capital"

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.CY(Computers and Society)