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 "consistent approval based multi winner rules"):
  Abstract: This paper is an axiomatic study of consistent approval-based multi-winner rules, i.e., voting rules that select a fixed-size group of candidates based on approval ballots. We introduce the class of counting rules, provide an axiomatic characterization of this class and, in particular, show that counting rules are consistent. Building upon this result, we axiomatically characterize three important consistent multi-winner rules: Proportional Approval Voting, Multi-Winner Approval Voting and the Approval Chamberlin-Courant rule. Our results demonstrate the variety of multi-winner rules and illustrate three different, orthogonal principles that multi-winner voting rules may represent: individual excellence, diversity, and proportionality.

Includes members:
  Member "committee scoring rules axiomatic characterization and hierarchy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "what do multiwinner voting rules do an experiment over the two dimensional euclidean domain")
  Member "axiomatic characterization of committee scoring rules":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how should we score athletes and candidates geometric scoring rules")
  Member "consistent probabilistic social choice":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fair mixing the case of dichotomous preferences")
  Member "properties of multiwinner voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "who is in your top three optimizing learning in elections with many candidates")
  Member "finding a collective set of items from proportional multirepresentation to group recommendation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise")
  Member "justified representation in approval based committee voting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "participatory budgeting models and approaches")
  Member "computational aspects of multi winner approval voting":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise")

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.GT(Computer Science and Game Theory)