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: "the cost of stability in coalitional games"
  Abstract: A key question in cooperative game theory is that of coalitional stability, usually captured by the notion of the \emph{core}--the set of outcomes such that no subgroup of players has an incentive to deviate. However, some coalitional games have empty cores, and any outcome in such a game is unstable. #R##N#In this paper, we investigate the possibility of stabilizing a coalitional game by using external payments. We consider a scenario where an external party, which is interested in having the players work together, offers a supplemental payment to the grand coalition (or, more generally, a particular coalition structure). This payment is conditional on players not deviating from their coalition(s). The sum of this payment plus the actual gains of the coalition(s) may then be divided among the agents so as to promote stability. We define the \emph{cost of stability (CoS)} as the minimal external payment that stabilizes the game. #R##N#We provide general bounds on the cost of stability in several classes of games, and explore its algorithmic properties. To develop a better intuition for the concepts we introduce, we provide a detailed algorithmic study of the cost of stability in weighted voting games, a simple but expressive class of games which can model decision-making in political bodies, and cooperation in multiagent settings. Finally, we extend our model and results to games with coalition structures.

Connected through hyperedge HE-1 (induced by source paper "computing the value of spatio temporal data in wholesale and retail data marketplaces"):
  with members:
    - "valuating user data in a human centric data economy"
    - "computing shapley values in the plane"
    - "a marketplace for data an algorithmic solution"
    - "optimal mechanisms for selling information"

Connected through hyperedge HE-2 (induced by source paper "valuating user data in a human centric data economy"):
  with members:
    - "computing shapley values in the plane"
    - "from advertising profits to bandwidth prices a quantitative methodology for negotiating premium peering"
    - "your browsing behavior for a big mac economics of personal information online"

Connected through hyperedge HE-3 (induced by source paper "an introduction to engineering multiagent industrial symbiosis systems potentials and challenges"):
  with members:
    - "industrial symbiotic networks as coordinated games"

Connected through hyperedge HE-4 (induced by source paper "adaptive mechanism design learning to promote cooperation"):
  with members:
    - "cooperating with machines"
    - "multi agent reinforcement learning in sequential social dilemmas"
    - "deep decentralized multi task multi agent reinforcement learning under partial observability"
    - "multi agent actor critic for mixed cooperative competitive environments"
    - "multiagent cooperation and competition with deep reinforcement learning"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-5 (induced by source paper "computing stable coalitions approximation algorithms for reward sharing"):
  with members:
    - "coalition games on interaction graphs a horticultural perspective"
    - "on the complexity of computing an equilibrium in combinatorial auctions"
    - "on discrete preferences and coordination"
    - "simultaneous auctions are almost efficient"
    - "cooperative games with overlapping coalitions"
    - "strategic cooperation in cost sharing games"
    - "price of anarchy for greedy auctions"
    - "combinatorial auctions with decreasing marginal utilities"

Connected through hyperedge HE-6 (induced by source paper "efficiency and complexity of price competition among single product vendors"):
  with members:
    - "budgetary effects on pricing equilibrium in online markets"
    - "price competition in online combinatorial markets"
    - "price competition in networked markets how do monopolies impact social welfare"
    - "the pricing war continues on competitive multi item pricing"
    - "enforcing efficient equilibria in network design games via subsidies"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

Connected through hyperedge HE-7 (induced by source paper "learning cooperative games"):
  with members:
    - "coalition games on interaction graphs a horticultural perspective"
    - "solving cooperative reliability games"
    - "learning valuation functions"
    - "cooperative games with overlapping coalitions"
    - "introduction to machine learning class notes 67577"

Connected through hyperedge HE-8 (induced by source paper "coalition games on interaction graphs a horticultural perspective"):
  with members:
    - "polynomial bounds for the grid minor theorem"

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.GT(Computer Science and Game Theory)