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: "a combinatorial polynomial algorithm for the linear arrow debreu market"
  Abstract: We present the first combinatorial polynomial time algorithm for computing the equilibrium of the Arrow-Debreu market model with linear utilities.

Connected through hyperedge HE-1 (induced by source paper "proportional dynamics in exchange economies"):
  with members:
    - "an alternating algorithm for finding linear arrow debreu market equilibrium"
    - "universal growth in production economies"
    - "a strongly polynomial algorithm for linear exchange markets"
    - "tracing equilibrium in dynamic markets via distributed adaptation"
    - "dynamics of distributed updating in fisher markets"
    - "selling complementary goods dynamics efficiency and revenue"
    - "best response dynamics in combinatorial auctions with item bidding"
    - "the price of anarchy in auctions"

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 "auction algorithms for market equilibrium with weak gross substitute demands"):
  with members:
    - "on fair division of indivisible items"
    - "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"
    - "ascending price algorithms for unknown markets"
    - "convergence of tâtonnement in fisher markets"
    - "tatonnement in ongoing markets of complementary goods"

Connected through hyperedge HE-4 (induced by source paper "balancing the robustness and convergence of tatonnement"):
  with members:
    - "a strongly polynomial algorithm for linear exchange markets"
    - "tracing equilibrium in dynamic markets via distributed adaptation"
    - "amortized analysis of asynchronous price dynamics"
    - "dynamics of distributed updating in fisher markets"
    - "tatonnement in ongoing markets of complementary goods"
    - "the complexity of non monotone markets"
    - "settling the complexity of arrow debreu equilibria in markets with additively separable utilities"

Connected through hyperedge HE-5 (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"
    - "concave generalized flows with applications to market equilibria"

Connected through hyperedge HE-6 (induced by source paper "approximating the nash social welfare with budget additive valuations"):
  with members:
    - "computing equilibria in markets with budget additive utilities"
    - "an improved combinatorial polynomial algorithm for the linear arrow debreu market"
    - "apx hardness of maximizing nash social welfare with indivisible items"
    - "an improved approximation guarantee for the maximum budgeted allocation problem"
    - "combinatorial walrasian equilibrium"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-7 (induced by source paper "on the efficiency of sharing economy networks"):
  with members:
    - "exchange of services in networks competition cooperation and fairness"

Connected through hyperedge HE-8 (induced by source paper "improved balanced flow computation using parametric flow"):
  with members:
    - "an improved combinatorial polynomial algorithm for the linear arrow debreu market"
    - "a rational convex program for linear arrow debreu markets"

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)