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 "axiomatic characterization of committee scoring rules"):
  Abstract: Committee scoring rules form a rich class of aggregators of voters' preferences for the purpose of selecting subsets of objects with desired properties, e.g., a shortlist of candidates for an interview, a representative collective body such as a parliament, or a set of locations for a set of public facilities. In the spirit of celebrated Young's characterization result that axiomatizes single-winner scoring rules, we provide an axiomatic characterization of multiwinner committee scoring rules. We show that committee scoring rules---despite forming a remarkably general class of rules---are characterized by the set of four standard axioms, anonymity, neutrality, consistency and continuity, and by one axiom specific to multiwinner rules which we call committee dominance. In the course of our proof, we develop several new notions and techniques. In particular, we introduce and axiomatically characterize multiwinner decision scoring rules, a class of rules that broadly generalizes the well-known majority relation.

Includes members:
  Member "what do we elect committees for a voting committee model for multi winner rules":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a quantitative analysis of multi winner rules")
  Member "multiwinner approval rules as apportionment methods":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise")
  Member "proportional approval method using squared loads approval removal and coin flip approval transformation pamsac a new system of proportional representation using approval voting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "committee selection with attribute level preferences")
  Member "consistent probabilistic social choice":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "consistent approval based multi winner rules")
  Member "properties of multiwinner voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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-6 (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-7 (induced by source paper "participatory budgeting models and approaches")
  Member "computational aspects of multi winner approval voting":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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)