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: "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"
  Abstract: We study the secure and reliable connectivity of wireless sensor networks. Security is assumed to be ensured by the random pairwise key predistribution scheme of Chan, Perrig, and Song, and unreliable wireless links are represented by independent ON/OFF channels. Modeling the network by an intersection of a random    $K$   -out graph and an Erdős–Renyi graph, we present scaling conditions (on the number of nodes    $n$   , the scheme parameter    $K$   , and the probability    $p$    of a wireless channel being on), such that the resulting graph contains no nodes with a degree less than    $k$    with high probability. Results are given in the form of zero–one laws with    $n$    getting large, and are shown to improve the previous results by Yagan and Makowski on the absence of isolated nodes (i.e., absence of nodes with degree zero) in the same model. Through simulations, the established zero–one laws are also shown to hold for the property of    $k$   -connectivity, i.e., the property that graph remains connected despite the deletion of any    $k-1$    nodes or edges.

Connected through hyperedge HE-1 (induced by source paper "on the strength of connectivity of inhomogeneous random k out graphs"):
  with members:
    - "privacy utility tradeoffs in routing cryptocurrency over payment channel networks"
    - "k connectivity in random key graphs with unreliable links"
    - "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"
    - "topological analysis of bitcoin s lightning network"
    - "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "k connectivity of inhomogeneous random key graphs with unreliable links"
    - "modeling the pairwise key predistribution scheme in the presence of unreliable links"

Connected through hyperedge HE-2 (induced by source paper "the strength of connectivity of random graphs induced by pairwise key predistribution schemes implications on security and reliability of heterogeneous sensor networks"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "k connectivity of inhomogeneous random key graphs with unreliable links"
    - "robustness of complex networks with implications for consensus and contagion"

Connected through hyperedge HE-3 (induced by source paper "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"
    - "k connectivity of inhomogeneous random key graphs with unreliable links"

Connected through hyperedge HE-4 (induced by source paper "probabilistic key predistribution in mobile networks resilient to node capture attacks"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "on resilience and connectivity of secure wireless sensor networks under node capture attacks"
    - "topological properties of secure wireless sensor networks under the q composite key predistribution scheme with unreliable links"
    - "on connectivity and robustness in random intersection graphs"
    - "transitional behavior of q composite random key graphs with applications to networked control"
    - "analyzing resilience of interest based social networks against node and link failures"
    - "connectivity in secure wireless sensor networks under transmission constraints"
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"

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.DM(Discrete Mathematics)