human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the minimum edge compact spanner network design problem"):
  Abstract: In this paper we introduce and study the Minimum Edge Compact Spanner~(MECS) problem. We prove hardness results related to the problem, design exact and greedy algorithms for solving the problem, and show related experimental results. The MECS problem looks for sparse subgraphs of an input graph, such that the average shortest path distance is preserved to a constant factor. Average distance is a measure of the ease of communication over the network. As a result such problems have applications in areas where one wants to substitute a dense graph with a sparse subgraph while maintaining a low cost of communication.

Includes members:
  Member "graph measures and network robustness":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "k core minimization a game theoretic approach")
  Member "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "truly optimal euclidean spanners")
  Member "fault tolerant spanners for doubling metrics better and simpler":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics")
  Member "robust geometric spanners":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "piecewise linear regressions for approximating distance metrics")
  Member "fault tolerant spanners better and simpler":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "approximate distance oracles subject to multiple vertex failures")

Question: Please tell me which class the source paper 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.DM(Discrete Mathematics)