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 "committee scoring rules axiomatic characterization and hierarchy"):
  Abstract: Committee scoring voting rules are multiwinner analogues of positional scoring rules which constitute an important subclass of single-winner voting rules. We identify several natural subclasses of committee scoring rules, namely, weakly separable, representation-focused, top-$k$-counting, OWA-based, and decomposable rules. We characterize SNTV, Bloc, and $k$-Approval Chamberlin--Courant as the only nontrivial rules in pairwise intersections of these classes. We provide some axiomatic characterizations for these classes, where monotonicity properties appear to be especially useful. The class of decomposable rules is new to the literature. We show that it strictly contains the class of OWA-based rules and describe some of the applications of decomposable rules.

Includes members:
  Member "what do multiwinner voting rules do an experiment over the two dimensional euclidean domain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "favorite candidate voting for eliminating the least popular candidate in metric spaces")
  Member "the condorcet principle for multiwinner elections from shortlisting to proportionality":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "proportionally representative participatory budgeting with ordinal preferences")
  Member "monotonicity axioms in approval based multi winner voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the complexity of destructive bribery in approval based multi winner voting")
  Member "multiwinner elections with diversity constraints":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "algorithmic fairness")
  Member "consistent approval based multi winner rules":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise")
  Member "multiwinner voting with fairness constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "algorithmic fairness")
  Member "group fairness in multiwinner voting":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fair correlation clustering")
  Member "robustness among multiwinner voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "matchings under preferences strength of stability and trade offs")

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)