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: "mind my value a decentralized infrastructure for fair and trusted iot data trading"
  Abstract: Internet of Things (IoT) data are increasingly viewed as a new form of massively distributed and large scale digital assets, which are continuously generated by millions of connected devices. The real value of such assets can only be realized by allowing IoT data trading to occur on a marketplace that rewards every single producer and consumer, at a very granular level. Crucially, we believe that such a marketplace should not be owned by anybody, and should instead fairly and transparently self-enforce a well defined set of governance rules. In this paper we address some of the technical challenges involved in realizing such a marketplace. We leverage emerging blockchain technologies to build a decentralized, trusted, transparent and open architecture for IoT traffic metering and contract compliance, on top of the largely adopted IoT brokered data infrastructure. We discuss an Ethereum-based prototype implementation and experimentally evaluate the overhead cost associated with Smart Contract transactions, concluding that a viable business model can indeed be associated with our technical approach.

Connected through hyperedge HE-1 (induced by source paper "energy aware demand selection and allocation for real time iot data trading"):
  with members:
    - "towards secure and decentralized sharing of iot data"
    - "a conceptual marketplace model for iot generated personal data"
    - "enforcing private data usage control with blockchain and attested off chain contract execution"
    - "a decentralized iot data marketplace"
    - "idmob iot data marketplace on blockchain"
    - "blockchain enabled data marketplace design and challenges"
    - "distributed approximation algorithms for the multiple knapsack problem"
    - "allocation of heterogeneous resources of an iot device to flexible services"

Connected through hyperedge HE-2 (induced by source paper "a decentralized iot data marketplace"):
  with members:
    - "idmob iot data marketplace on blockchain"
    - "sensor search techniques for sensing as a service architecture for the internet of things"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-3 (induced by source paper "towards a computer interpretable actionable formal model to encode data governance rules"):
  with members:
    - "shai enforcing data specific policies with near zero runtime overhead"
    - "camflow managed data sharing for cloud services"

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.DC(Distributed, Parallel, and Cluster Computing)