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: "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
  Abstract: Random key predistribution scheme of Eschenauer and Gligor (EG) is a typical solution for ensuring secure communications in a wireless sensor network (WSN). Connectivity of the WSNs under this scheme has received much interest over the last decade, and most of the existing work is based on the assumption of unconstrained sensor-to-sensor communications. In this paper, we study the k-connectivity of WSNs under the EG scheme with physical link constraints; k-connectivity is defined as the property that the network remains connected despite the failure of any (k - 1) sensors. We use a simple communication model, where unreliable wireless links are modeled as independent on/off channels, and derive zero-one laws for the properties that i) the WSN is k-connected, and ii) each sensor is connected to at least k other sensors. These zero-one laws improve the previous results by Rybarczyk on the k-connectivity under a fully connected communication model. Moreover, under the on/off channel model, we provide a stronger form of the zero-one law for the 1-connectivity as compared to that given by Ya\u{g}an. We also discuss the applicability of our results in a different network application, namely in a large-scale, distributed publish-subscribe service for online social networks.

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"
    - "the phase transition in inhomogeneous random intersection graphs"
    - "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"
    - "the phase transition in inhomogeneous random intersection graphs"
    - "resilient continuous time consensus in fractional robust networks"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"

Connected through hyperedge HE-3 (induced by source paper "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"
    - "modeling the pairwise key predistribution scheme in the presence of unreliable links"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"

Connected through hyperedge HE-4 (induced by source paper "designing securely and reliably connected wireless sensor networks"):
  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"
    - "on the strengths of connectivity and robustness in general random intersection graphs"

Connected through hyperedge HE-5 (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"
    - "the phase transition in inhomogeneous random intersection graphs"
    - "resilient continuous time consensus in fractional robust networks"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "connectivity in secure wireless sensor networks under transmission constraints"):
  with members:
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"
    - "mobile conductance in sparse networks and mobility connectivity tradeoff"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"
    - "component evolution in general random intersection graphs"

Connected through hyperedge HE-7 (induced by source paper "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"):
  with members:
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"
    - "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.IT(Information Theory)