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 "k connectivity in random key graphs with unreliable links"):
  Abstract: Random key graphs form a class of random intersection graphs and are naturally induced by the random key predistribution scheme of Eschenauer and Gligor for securing wireless sensor network (WSN) communications. Random key graphs have received much interest recently, owing in part to their wide applicability in various domains including recommender systems, social networks, secure sensor networks, clustering and classification analysis, and cryptanalysis to name a few. In this paper, we study connectivity properties of random key graphs in the presence of unreliable links. Unreliability of the edges are captured by independent Bernoulli random variables, rendering edges of the graph to be on or off independently from each other. The resulting model is an intersection of a random key graph and an Erdos-Renyi graph, and is expected to be useful in capturing various real-world networks; e.g., with secure WSN applications in mind, link unreliability can be attributed to harsh environmental conditions severely impairing transmissions. We present conditions on how to scale this model's parameters so that i) the minimum node degree in the graph is at least k, and ii) the graph is k-connected, both with high probability as the number of nodes becomes large. The results are given in the form of zeroone laws with critical thresholds identified and shown to coincide for both graph properties. These findings improve the previous results by Rybarczyk on the k-connectivity of random key graphs (with reliable links), as well as the zero-one laws by Yagan on the 1-connectivity of random key graphs with unreliable links.

Includes members:
  Member "random intersection graphs and their applications in security wireless communication and social networks":
    also connected through other hyperedges:
      (none)
  Member "connectivity in secure wireless sensor networks under transmission constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "secure communication in dynamic wireless ad hoc networks")
  Member "hyperbolicity degeneracy and expansion of random intersection graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "topological properties of secure wireless sensor networks under the q composite key predistribution scheme with unreliable links")
  Member "on the strengths of connectivity and robustness in general random intersection graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "analyzing connectivity of heterogeneous secure sensor networks")
  Member "the phase transition in inhomogeneous random intersection graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random intersection graphs and their applications in security wireless communication and social networks")
  Member "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "random intersection graphs and their applications in security wireless communication and social networks")
  Member "performance of the eschenauer gligor key distribution scheme under an on off channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "probabilistic key predistribution in mobile networks resilient to node capture attacks")

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.IT(Information Theory)