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: "the phase transition in inhomogeneous random intersection graphs"
  Abstract: We analyze the component evolution in inhomogeneous random intersection graphs when the average degree is close to 1. As the average degree increases, the size of the largest component in the random intersection graph goes through a phase transition. We give bounds on the size of the largest components before and after this transition. We also prove that the largest component after the transition is unique.

Connected through hyperedge HE-1 (induced by source paper "k connectivity in random key graphs with unreliable links"):
  with members:
    - "random intersection graphs and their applications in security wireless communication and social networks"
    - "connectivity in secure wireless sensor networks under transmission constraints"
    - "hyperbolicity degeneracy and expansion of random intersection graphs"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"

Connected through hyperedge HE-2 (induced by source paper "random intersection graphs and their applications in security wireless communication and social networks"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "designing securely and reliably connected wireless sensor networks"
    - "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"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "resilient continuous time consensus in fractional robust networks"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"

Connected through hyperedge HE-3 (induced by source paper "on the strengths of connectivity and robustness in general random intersection graphs"):
  with members:
    - "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"
    - "resilient continuous time consensus in fractional robust networks"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
    - "robustness of complex networks with implications for consensus and contagion"
    - "robustness of information diffusion algorithms to locally bounded adversaries"
    - "component evolution in general random intersection graphs"

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)