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: "distributed proportional fairness control in microgrids via blockchain smart contracts"
  Abstract: Residential microgrids (MGs) may host a large number of Distributed Energy Resources (DERs). The strategy that maximizes the revenue for each individual DER is the one in which the DER operates at capacity, injecting all available power into the grid. However, when the DER penetration is high and the consumption low, this strategy may lead to power surplus that causes voltage increase over recommended limits. In order to create incentives for the DER to operate below capacity, we propose a proportional-fairness control strategy in which (i) a subset of DERs decrease their own power output, sacrificing the individual revenue, and (ii) the DERs in the subset are dynamically selected based on the record of their control history. The trustworthy implementation of the scheme is carried out through a custom-designed blockchain mechanism that maintains a distributed database trusted by all DERs. In particular, the blockchain is used to stipulate and store a smart contract that enforces proportional fairness. The simulation results verify the potential of the proposed framework.

Connected through hyperedge HE-1 (induced by source paper "blockchain for future smart grid a comprehensive survey"):
  with members:
    - "exploring the attack surface of blockchain a systematic overview"
    - "an efficient blockchain based hierarchical authentication mechanism for energy trading in v2g environment"
    - "when energy trading meets blockchain in electrical power system the state of the art"
    - "energy crowdsourcing and peer to peer energy trading in blockchain enabled smart grids"
    - "blockchain based grid operation services for transactive energy systems"
    - "blockchain technologies for smart energy systems fundamentals challenges and solutions"
    - "key management systems for smart grid advanced metering infrastructure a survey"
    - "a survey on the security of blockchain systems"

Connected through hyperedge HE-2 (induced by source paper "communication aspects of the integration of wireless iot devices with distributed ledger technology"):
  with members:
    - "analysis of lorawan uplink with multiple demodulating paths and capture effect"
    - "delay and communication tradeoffs for blockchain systems with lightweight iot clients"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "bitcoin payment channels for resource limited iot devices"
    - "analysis of the communication traffic for blockchain synchronization of iot devices"
    - "massive machine type communications in 5g physical and mac layer solutions"

Connected through hyperedge HE-3 (induced by source paper "blockchain based transactive energy systems for voltage regulation"):
  with members:
    - "scalable and privacy preserving design of on off chain smart contracts"
    - "blockbench a framework for analyzing private blockchains"
    - "prioritizing consumers in smart grid a game theoretic approach"

Connected through hyperedge HE-4 (induced by source paper "delay and communication tradeoffs for blockchain systems with lightweight iot clients"):
  with members:
    - "smart contract based access control for the internet of things"
    - "social signals in the ethereum trading network"
    - "analysis of the communication traffic for blockchain synchronization of iot devices"
    - "novel market approach for locally balancing renewable energy production and flexible demand"
    - "update or wait how to keep your data fresh"
    - "massive machine type communications in 5g physical and mac layer solutions"

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.MA(Multiagent Systems)