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: "measuring voting power in convex policy spaces"
  Abstract: Classical power index analysis considers the individual's ability to influence the aggregated group decision by changing its own vote, where all decisions and votes are assumed to be binary. In many practical applications we have more options than either "yes" or "no". Here we generalize three important power indices to continuous convex policy spaces. This allows the analysis of a collection of economic problems like e.g. tax rates or spending that otherwise would not be covered in binary models.

Connected through hyperedge HE-1 (induced by source paper "axiomatizations for the shapley shubik power index for games with several levels of approval in the input and output"):
  with members:
    - "an axiomatization of the shapley shubik index for interval decisions"
    - "importance in systems with interval decisions"
    - "the roll call interpretation of the shapley value"

Connected through hyperedge HE-2 (induced by source paper "an axiomatization of the shapley shubik index for interval decisions"):
  with members:
    - "importance in systems with interval decisions"
    - "the roll call interpretation of the shapley value"

Connected through hyperedge HE-3 (induced by source paper "which criteria qualify power indices for applications a comment to the story of the poor public good index"):
  with members:
    - "representation compatible power indices"
    - "importance in systems with interval decisions"
    - "the power of the largest player"
    - "the cost of getting local monotonicity"
    - "mostly sunny a forecast of tomorrow s power index research"
    - "the average representation a cornucopia of power indices"
    - "the inverse problem for power distributions in committees"

Connected through hyperedge HE-4 (induced by source paper "importance in systems with interval decisions"):
  with members:
    - "the inverse shapley value problem"

Connected through hyperedge HE-5 (induced by source paper "the inverse problem for power distributions in committees"):
  with members:
    - "the inverse shapley value problem"
    - "nearly optimal solutions for the chow parameters problem and low weight approximation of halfspaces"

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)