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: "coase s penguin or linux and the nature of the firm"
  Abstract: The paper explains why open source software is an instance of a potentially broader phenomenon. Specifically, I suggest that nonproprietary peer-production of information and cultural materials will likely be a ubiquitous phenomenon in a pervasively networked society. I describe a number of such enterprises, at various stages of the information production value chain. These enterprises suggest that incentives to engage in nonproprietary peer production are trivial as long as enough contributors can be organized to contribute. This implies that the limit on the reach of peer production efforts is the modularity, granularity, and cost of integration of a good produced, not its total cost. I also suggest reasons to think that peer-production can have systematic advantages over both property-based markets and corporate managerial hierarchies as a method of organizing information and cultural production in a networked environment, because it is a better mechanism for clearing information about human capital available to work on existing information inputs to produce new outputs, and because it permits largers sets of agents to use larger sets of resources where there are increasing returns to the scale of both the set of agents and the set of resources available for work on projects. As capital costs and communications costs decrease in importance as factors of information production, the relative advantage of peer production in clearing human capital becomes more salient.

Connected through hyperedge HE-1 (induced by source paper "aristotle vs ringelmann on superlinear production in open source software"):
  with members:
    - "given enough eyeballs all bugs are shallow revisiting eric raymond with bug bounty programs"
    - "aristotle vs ringelmann a response to scholtes et al on superlinear production in open source software"
    - "using prediction markets to incentivize and measure collective knowledge production"

Connected through hyperedge HE-2 (induced by source paper "designing for participation and change in digital institutions"):
  with members:
    - "the evolution of wikipedia s norm network"
    - "laboratories of oligarchy how the iron law extends to peer production"

Connected through hyperedge HE-3 (induced by source paper "the governance of risks in ridesharing a revelatory case from singapore"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "crowdsourcing sharing economies and development"

Connected through hyperedge HE-4 (induced by source paper "witnet a decentralized oracle network protocol"):
  with members:
    - "simplicity a new language for blockchains"
    - "algorand the efficient and democratic ledger"

Connected through hyperedge HE-5 (induced by source paper "proofpeer collaborative theorem proving"):
  with members:
    - "capturing hiproofs in hol light"
    - "recycling proof patterns in coq case studies"
    - "isabelle jedit a prover ide within the pide framework"
    - "a web interface for matita"
    - "learning assisted automated reasoning with flyspeck"
    - "large formal wikis issues and solutions"
    - "slope one predictors for online rating based collaborative filtering"

Connected through hyperedge HE-6 (induced by source paper "laboratories of oligarchy how the iron law extends to peer production"):
  with members:
    - "feedback loops of attention in peer production"

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)