human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "peer to peer trading in electricity networks an overview"):
  Abstract: Peer-to-peer trading is a next-generation energy management technique that economically benefits proactive consumers (prosumers) transacting their energy as goods and services. At the same time, peer-to-peer energy trading is also expected to help the grid by reducing peak demand, lowering reserve requirements, and curtailing network loss. However, large-scale deployment of peer-to-peer trading in electricity networks poses a number of challenges in modeling transactions in both the virtual and physical layers of the network. As such, this article provides a comprehensive review of the state-of-the-art in research on peer-to-peer energy trading techniques. By doing so, we provide an overview of the key features of peer-to-peer trading and its benefits of relevance to the grid and prosumers. Then, we systematically classify the existing research in terms of the challenges that the studies address in the virtual and the physical layers. We then further identify and discuss those technical approaches that have been extensively used to address the challenges in peer-to-peer transactions. Finally, the paper is concluded with potential future research directions.

Includes members:
  Member "a motivational game theoretic approach for peer to peer energy trading in the smart grid":
    also connected through other hyperedges:
      (none)
  Member "energy crowdsourcing and peer to peer energy trading in blockchain enabled smart grids":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cyberphysical blockchain enabled peer to peer energy trading")
  Member "blockchain technologies for smart energy systems fundamentals challenges and solutions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "blockchain for future smart grid a comprehensive survey")
  Member "decentralized p2p energy trading under network constraints in a low voltage network":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "when energy trading meets blockchain in electrical power system the state of the art")
  Member "peer to peer energy trading with sustainable user participation a game theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "when energy trading meets blockchain in electrical power system the state of the art")
  Member "price discrimination for energy trading in smart grid a game theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a motivational game theoretic approach for peer to peer energy trading in the smart grid")
  Member "prioritizing consumers in smart grid a game theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "privacy preserving and collusion resistant charging coordination schemes for smart grid")
  Member "three party energy management with distributed energy resources in smart grid":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "when energy trading meets blockchain in electrical power system the state of the art")

Question: Please tell me which class the source paper 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)