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: "concave generalized flows with applications to market equilibria"
  Abstract: We consider a nonlinear extension of the generalized network flow model, with the flow leaving an arc being an increasing concave function of the flow entering it, as proposed by Truemper and Shigeno. We give a polynomial time combinatorial algorithm for solving corresponding flow maximization problems, finding an epsilon-approximate solution in O(m(m+log n)log(MUm/epsilon)) arithmetic operations and value oracle queries, where M and U are upper bounds on simple parameters. This also gives a new algorithm for linear generalized flows, an efficient, purely scaling variant of the Fat-Path algorithm by Goldberg, Plotkin and Tardos, not using any cycle cancellations. #R##N#We show that this general convex programming model serves as a common framework for several market equilibrium problems, including the linear Fisher market model and its various extensions. Our result immediately extends these market models to more general settings. We also obtain a combinatorial algorithm for nonsymmetric Arrow-Debreu Nash bargaining, settling an open question by Vazirani.

Connected through hyperedge HE-1 (induced by source paper "algorithms for competitive division of chores"):
  with members:
    - "fair division with minimal sharing"
    - "strategyproof and approximately maxmin fair share allocation of chores"
    - "universal growth in production economies"
    - "fair allocation of combinations of indivisible goods and chores"
    - "on the proximity of markets with integral equilibria"
    - "competitive division of a mixed manna"
    - "approximation algorithms for computing maximin share allocations"
    - "almost envy freeness with general valuations"

Connected through hyperedge HE-2 (induced by source paper "satiation in fisher markets and approximation of nash social welfare"):
  with members:
    - "near optimal online algorithms and fast approximation algorithms for resource allocation problems"
    - "a strongly polynomial algorithm for linear exchange markets"
    - "approximating the nash social welfare with budget additive valuations"
    - "finding fair and efficient allocations"
    - "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"
    - "an improved combinatorial polynomial algorithm for the linear arrow debreu market"

Connected through hyperedge HE-3 (induced by source paper "universal growth in production economies"):
  with members:
    - "selling complementary goods dynamics efficiency and revenue"
    - "best response dynamics in combinatorial auctions with item bidding"
    - "nash social welfare approximation for strategic agents"
    - "the price of anarchy in auctions"
    - "learning and efficiency in games with dynamic population"
    - "learning in auctions regret is hard envy is easy"
    - "average case performance of replicator dynamics in potential games via computing regions of attraction"
    - "non price equilibria in markets of discrete goods"

Connected through hyperedge HE-4 (induced by source paper "a strongly polynomial algorithm for linear exchange markets"):
  with members:
    - "a simpler and faster strongly polynomial algorithm for generalized flow maximization"
    - "improved balanced flow computation using parametric flow"
    - "an improved combinatorial polynomial algorithm for the linear arrow debreu market"
    - "a strongly polynomial algorithm for generalized flow maximization"
    - "a rational convex program for linear arrow debreu markets"
    - "a combinatorial polynomial algorithm for the linear arrow debreu market"

Connected through hyperedge HE-5 (induced by source paper "a simpler and faster strongly polynomial algorithm for generalized flow maximization"):
  with members:
    - "a strongly polynomial algorithm for generalized flow maximization"
    - "faster approximate lossy generalized flow via interior point algorithms"

Connected through hyperedge HE-6 (induced by source paper "leontief exchange markets can solve multivariate polynomial equations yielding fixp and etr hardness"):
  with members:
    - "the complexity of non monotone markets"
    - "a combinatorial polynomial algorithm for the linear arrow debreu market"
    - "strongly polynomial algorithm for a class of minimum cost flow problems with separable convex objectives"
    - "settling the complexity of arrow debreu equilibria in markets with additively separable utilities"

Connected through hyperedge HE-7 (induced by source paper "on computability of equilibria in markets with production"):
  with members:
    - "the complexity of non monotone markets"
    - "a combinatorial polynomial algorithm for the linear arrow debreu market"
    - "settling the complexity of arrow debreu equilibria in markets with additively separable utilities"
    - "spending is not easier than trading on the computational equivalence of fisher and arrow debreu equilibria"

Connected through hyperedge HE-8 (induced by source paper "a rational convex program for linear arrow debreu markets"):
  with members:
    - "a combinatorial polynomial algorithm for the linear arrow debreu market"
    - "strongly polynomial algorithm for a class of minimum cost flow problems with separable convex objectives"

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.DS(Data Structures and Algorithms)