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: "efficiency and sequenceability in fair division of indivisible goods with additive preferences"
  Abstract: In fair division of indivisible goods, using sequences of sincere choices (or picking sequences) is a natural way to allocate the objects. The idea is the following: at each stage, a designated agent picks one object among those that remain. This paper, restricted to the case where the agents have numerical additive preferences over objects, revisits to some extent the seminal paper by Brams and King [9] which was specific to ordinal and linear order preferences over items. We point out similarities and differences with this latter context. In particular, we show that any Pareto-optimal allocation (under additive preferences) is sequenceable, but that the converse is not true anymore. This asymmetry leads naturally to the definition of a "scale of efficiency" having three steps: Pareto-optimality, sequenceability without Pareto-optimality, and non-sequenceability. Finally, we investigate the links between these efficiency properties and the "scale of fairness" we have described in an earlier work [7]: we first show that an allocation can be envy-free and non-sequenceable, but that every competitive equilibrium with equal incomes is sequenceable. Then we experimentally explore the links between the scales of efficiency and fairness.

Connected through hyperedge HE-1 (induced by source paper "an improved approximation algorithm for maximin shares"):
  with members:
    - "fair division of indivisible goods among strategic agents"
    - "a little charity guarantees almost envy freeness"
    - "maximin share allocations on cycles"
    - "connected fair allocation of indivisible goods"
    - "an algorithmic framework for approximating maximin share allocation of chores"
    - "the fair division of hereditary set systems"
    - "fair allocation of indivisible goods to asymmetric agents"
    - "groupwise maximin fair allocation of indivisible goods"

Connected through hyperedge HE-2 (induced by source paper "efficiency sequenceability and deal optimality in fair division of indivisible goods"):
  with members:
    - "optimal reallocation under additive and ordinal preferences"
    - "possible and necessary allocations via sequential mechanisms"
    - "fair assignment of indivisible objects under ordinal preferences"
    - "a social welfare optimal sequential allocation procedure"

Connected through hyperedge HE-3 (induced by source paper "approximation algorithms for maximin fair division"):
  with members:
    - "approximation algorithms for computing maximin share allocations"
    - "fair allocation of indivisible goods improvement and generalization"
    - "approximation algorithms for max min share allocations of indivisible chores and goods"
    - "symmetry and approximability of submodular maximization problems"
    - "on allocating goods to maximize fairness"

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)