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: "dividing goods or bads under additive utilities"
  Abstract: When utilities are additive, we uncovered in our previous paper (Bogomolnaia et al. "Dividing Goods or Bads under Additive Utilities") many similarities but also surprising differences in the behavior of the familiar Competitive rule (with equal incomes), when we divide (private) goods or bads. The rule picks in both cases the critical points of the product of utilities (or disutilities) on the efficiency frontier, but there is only one such point if we share goods, while there can be exponentially many in the case of bads. We extend this analysis to the fair division of mixed items: each item can be viewed by some participants as a good and by others as a bad, with corresponding positive or negative marginal utilities. We find that the division of mixed items boils down, normatively as well as computationally, to a variant of an all goods problem, or of an all bads problem: in particular the task of dividing the non disposable items must be either good news for everyone, or bad news for everyone. If at least one feasible utility profile is positive, the Competitive rule picks the unique maximum of the product of (positive) utilities. If no feasible utility profile is positive, this rule picks all critical points of the product of disutilities on the efficient frontier

Connected through hyperedge HE-1 (induced by source paper "greedy algorithms for fair division of mixed manna"):
  with members:
    - "almost envy freeness and welfare efficiency in fair division with goods or bads"
    - "comparing approximate relaxations of envy freeness"
    - "fair allocation of combinations of indivisible goods and chores"
    - "greedy algorithms for maximizing nash social welfare"
    - "competitive division of a mixed manna"
    - "almost envy freeness with general valuations"
    - "finding fair and efficient allocations"
    - "online fair division analysing a food bank problem"

Connected through hyperedge HE-2 (induced by source paper "fair division of goods with market values"):
  with members:
    - "competitive division of a mixed manna"

Connected through hyperedge HE-3 (induced by source paper "almost envy free allocations with connected bundles"):
  with members:
    - "fairly allocating contiguous blocks of indivisible items"
    - "maximin share allocations on cycles"
    - "comparing approximate relaxations of envy freeness"
    - "fair allocation of combinations of indivisible goods and chores"
    - "fairly allocating many goods with few queries"
    - "fair division under cardinality constraints"
    - "pareto optimal allocation of indivisible goods with connectivity constraints"
    - "competitive division of a mixed manna"

Connected through hyperedge HE-4 (induced by source paper "fair allocation of combinations of indivisible goods and chores"):
  with members:
    - "almost envy free allocations with connected bundles"
    - "competitive division of a mixed manna"
    - "approximation algorithms for computing maximin share allocations"
    - "fair division of a graph"
    - "optimal reallocation under additive and ordinal preferences"
    - "fair assignment of indivisible objects under ordinal preferences"

Connected through hyperedge HE-5 (induced by source paper "competitive division of a mixed manna"):
  with members:
    - "monotonicity and competitive equilibrium in cake cutting"
    - "convex program duality fisher markets and nash social welfare"
    - "nash social welfare for indivisible items under separable piecewise linear concave utilities"
    - "nash social welfare matrix permanent and stable polynomials"
    - "apx hardness of maximizing nash social welfare with indivisible items"
    - "rental harmony with roommates"

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)