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: "convergence of local dynamics to balanced outcomes in exchange networks"
  Abstract: Bargaining games on exchange networks have been studied by both economists and sociologists. A Balanced Outcome for such a game is an equilibrium concept that combines notions of stability and fairness. In a recent paper, Kleinberg and Tardos introduced balanced outcomes to the computer science community and provided a polynomial-time algorithm to compute the set of such outcomes. Their work left open a pertinent question: are there natural, local dynamics that converge quickly to a balanced outcome? In this paper, we provide a partial answer to this question by showing that simple edge-balancing dynamics converge to a balanced outcome whenever one exists.

Connected through hyperedge HE-1 (induced by source paper "bargaining for revenue shares on tree trading networks"):
  with members:
    - "an fptas for bargaining networks with unequal bargaining powers"

Connected through hyperedge HE-2 (induced by source paper "bargaining dynamics in exchange networks"):
  with members:
    - "a natural dynamics for bargaining on exchange networks"
    - "max product for maximum weight matching convergence correctness and lp duality"

Connected through hyperedge HE-3 (induced by source paper "bargaining dynamics in exchange networks"):
  with members:
    - "on oblivious ptas s for nash equilibrium"
    - "belief propagation for min cost network flow convergence and correctness"
    - "an fptas for bargaining networks with unequal bargaining powers"
    - "the cooperative game theory foundations of network bargaining games"
    - "on the deletion channel with small deletion probability"
    - "a natural dynamics for bargaining on exchange networks"
    - "max product for maximum weight matching convergence correctness and lp duality"

Connected through hyperedge HE-4 (induced by source paper "an fptas for bargaining networks with unequal bargaining powers"):
  with members:
    - "on oblivious ptas s for nash equilibrium"
    - "bargaining dynamics in exchange networks"
    - "the cooperative game theory foundations of network bargaining games"
    - "max product for maximum weight matching convergence correctness and lp duality"

Connected through hyperedge HE-5 (induced by source paper "the cooperative game theory foundations of network bargaining games"):
  with members:
    - "on oblivious ptas s for nash equilibrium"
    - "a natural dynamics for bargaining on exchange networks"
    - "computing nash equilibria approximation and smoothed complexity"
    - "complexity of determining nonemptiness of the core"

Connected through hyperedge HE-6 (induced by source paper "a natural dynamics for bargaining on exchange networks"):
  with members:
    - "max product for maximum weight matching convergence correctness and lp duality"

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)