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: "multiwinner approval rules as apportionment methods"
  Abstract: We establish a link between multiwinner elections and apportionment problems by showing how approval-based multiwinner election rules can be interpreted as methods of apportionment. We consider several multiwinner rules and observe that they induce apportionment methods that are well-established in the literature on proportional representation. For instance, we show that Proportional Approval Voting induces the D'Hondt method and that Monroe's rule induces the largest reminder method. We also consider properties of apportionment methods and exhibit multiwinner rules that induce apportionment methods satisfying these properties.

Connected through hyperedge HE-1 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise"):
  with members:
    - "a quantitative analysis of multi winner rules"
    - "consistent approval based multi winner rules"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "justified representation in approval based committee voting"
    - "computational aspects of multi winner approval voting"
    - "a maximum likelihood approach for selecting sets of alternatives"
    - "common voting rules as maximum likelihood estimators"

Connected through hyperedge HE-2 (induced by source paper "approval based apportionment"):
  with members:
    - "group fairness in committee selection"
    - "fair allocation of indivisible public goods"
    - "monotonicity axioms in approval based multi winner voting rules"
    - "fair mixing the case of dichotomous preferences"
    - "committees providing ejr can be computed efficiently"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "justified representation in approval based committee voting"
    - "computational aspects of multi winner approval voting"

Connected through hyperedge HE-3 (induced by source paper "how should we score athletes and candidates geometric scoring rules"):
  with members:
    - "measuring majority power and veto power of voting rules"
    - "consistent approval based multi winner rules"
    - "axiomatic characterization of committee scoring rules"

Connected through hyperedge HE-4 (induced by source paper "committee scoring rules axiomatic characterization and hierarchy"):
  with members:
    - "what do multiwinner voting rules do an experiment over the two dimensional euclidean domain"
    - "the condorcet principle for multiwinner elections from shortlisting to proportionality"
    - "monotonicity axioms in approval based multi winner voting rules"
    - "multiwinner elections with diversity constraints"
    - "consistent approval based multi winner rules"
    - "multiwinner voting with fairness constraints"
    - "group fairness in multiwinner voting"
    - "robustness among multiwinner voting rules"

Connected through hyperedge HE-5 (induced by source paper "a quantitative analysis of multi winner rules"):
  with members:
    - "what do multiwinner voting rules do an experiment over the two dimensional euclidean domain"
    - "proportionality and the limits of welfarism"
    - "group fairness in committee selection"
    - "fair allocation of indivisible public goods"
    - "the condorcet principle for multiwinner elections from shortlisting to proportionality"
    - "consistent approval based multi winner rules"
    - "robustness among multiwinner voting rules"
    - "what do we elect committees for a voting committee model for multi winner rules"

Connected through hyperedge HE-6 (induced by source paper "proportionality degree of multiwinner rules"):
  with members:
    - "fair allocation of indivisible public goods"
    - "a quantitative analysis of multi winner rules"
    - "consistent approval based multi winner rules"
    - "properties of multiwinner voting rules"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-7 (induced by source paper "proportional representation in approval based committee voting and beyond"):
  with members:
    - "the condorcet principle for multiwinner elections from shortlisting to proportionality"
    - "fully open extensions to the d hondt method"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"

Connected through hyperedge HE-8 (induced by source paper "committees providing ejr can be computed efficiently"):
  with members:
    - "the maximin support method an extension of the d hondt method to approval based multiwinner elections"
    - "computational aspects of multi winner approval voting"

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)