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: "fully open extensions to the d hondt method"
  Abstract: In this study, we propose two voting rules that extend the D'Hondt method for approval-based multi-winner elections. Our theoretical results prove that one of such rules preserves the main properties of the original D'Hondt method: house monotonicity, lower quota satisfaction, and population monotonicity, and that it can be executed in polynomial time.

Connected through hyperedge HE-1 (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-2 (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"
    - "multiwinner approval rules as apportionment methods"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"

Connected through hyperedge HE-3 (induced by source paper "a polynomial time algorithm to achieve extended justified representation"):
  with members:
    - "the maximin support method an extension of the d hondt method to approval based multiwinner elections"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "computational aspects of multi winner approval voting"

Connected through hyperedge HE-4 (induced by source paper "sub committee approval voting and generalised justified representation axioms"):
  with members:
    - "a polynomial time algorithm to achieve extended justified representation"
    - "the maximin support method an extension of the d hondt method to approval based multiwinner elections"

Connected through hyperedge HE-5 (induced by source paper "computational complexity of testing proportional justified representation"):
  with members:
    - "the maximin support method an extension of the d hondt method to approval based multiwinner elections"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "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)