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: "platibart a platform for transactive iot blockchain applications with repeatable testing"
  Abstract: With the advent of blockchain-enabled IoT applications, there is an increased need for related software patterns, middleware concepts, and testing practices to ensure adequate quality and productivity. IoT and blockchain each provide different design goals, concepts, and practices that must be integrated, including the distributed actor model and fault tolerance from IoT and transactive information integrity over untrustworthy sources from blockchain. Both IoT and blockchain are emerging technologies and both lack codified patterns and practices for development of applications when combined. This paper describes PlaTIBART, which is a platform for transactive IoT blockchain applications with repeatable testing that combines the Actor pattern (which is a commonly used model of computation in IoT) together with a custom Domain Specific Language (DSL) and test network management tools. We show how PlaTIBART has been applied to develop, test, and analyze fault-tolerant IoT blockchain applications.

Connected through hyperedge HE-1 (induced by source paper "towards a secure behavior modeling for iot networks using blockchain"):
  with members:
    - "a conceptual paper on servqual framework for assessing quality of internet of things iot services"
    - "on the activity privacy of blockchain for iot"
    - "towards secure iot communication with smart contracts in a blockchain infrastructure"

Connected through hyperedge HE-2 (induced by source paper "blockchain based smart iot trust zone measurement architecture"):
  with members:
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "on the activity privacy of blockchain for iot"
    - "towards secure iot communication with smart contracts in a blockchain infrastructure"

Connected through hyperedge HE-3 (induced by source paper "landscape of iot patterns"):
  with members:
    - "is fragmentation a threat to the success of the internet of things"

Connected through hyperedge HE-4 (induced by source paper "towards secure iot communication with smart contracts in a blockchain infrastructure"):
  with members:
    - "indic handwritten script identification using offline online multimodal deep network"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "blockchain in internet of things challenges and solutions"
    - "exponentiated gradient exploration for active learning"

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)