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 "a quantitative analysis of multi winner rules"):
  Abstract: To choose a multi-winner rule, i.e., a voting rule that selects a subset of $k$ alternatives based on preferences of a certain population, is a hard and ambiguous task. Depending on the context, it varies widely what constitutes an "optimal" committee. In this paper, we offer a new perspective to measure the quality of committees and---consequently---multi-winner rules. We provide a quantitative analysis using methods from the theory of approximation algorithms and estimate how well multi-winner rules approximate two extreme objectives: diversity as captured by the (Approval) Chamberlin--Courant rule (CC) and individual excellence as captured by Approval Voting (AV). With both theoretical and experimental methods we establish a classification of multi-winner rules in terms of their quantitative alignment with these two opposing objectives.

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 "proportionality and the limits of welfarism":
    also connected through other hyperedges:
      (none)
  Member "group fairness in committee selection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "approximately stable committee selection")
  Member "fair allocation of indivisible public goods":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "participatory budgeting models and approaches")
  Member "the condorcet principle for multiwinner elections from shortlisting to proportionality":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "proportionally representative participatory budgeting with ordinal preferences")
  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 "robustness among multiwinner voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "matchings under preferences strength of stability and trade offs")
  Member "what do we elect committees for a voting committee model for multi winner rules":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "flexible representative democracy an introduction with binary issues")

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.MA(Multiagent Systems)