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: "robustness of complex networks with implications for consensus and contagion"
  Abstract: We study a graph-theoretic property known as robustness, which plays a key role in certain classes of dynamics on networks (such as resilient consensus, contagion and bootstrap percolation). This property is stronger than other graph properties such as connectivity and minimum degree in that one can construct graphs with high connectivity and minimum degree but low robustness. However, we show that the notions of connectivity and robustness coincide on common random graph models for complex networks (Erdos-Renyi, geometric random, and preferential attachment graphs). More specifically, the properties share the same threshold function in the Erdos-Renyi model, and have the same values in one-dimensional geometric graphs and preferential attachment networks. This indicates that a variety of purely local diffusion dynamics will be effective at spreading information in such networks. Although graphs generated according to the above constructions are inherently robust, we also show that it is coNP-complete to determine whether any given graph is robust to a specified extent.

Connected through hyperedge HE-1 (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"
    - "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"

Connected through hyperedge HE-2 (induced by source paper "effects of topology knowledge and relay depth on asynchronous consensus"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "reliable communication in a dynamic network in the presence of byzantine faults"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "easy impossibility proofs for k set agreement in message passing systems"

Connected through hyperedge HE-3 (induced by source paper "r robustness and r s robustness of circulant graphs"):
  with members:
    - "resilient consensus of second order agent networks asynchronous update rules with delays"
    - "on connectivity and robustness in random intersection graphs"
    - "resilient randomized quantized consensus"
    - "robustness and algebraic connectivity of random interdependent networks"
    - "resilient continuous time consensus in fractional robust networks"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "robustness of information diffusion algorithms to locally bounded adversaries"

Connected through hyperedge HE-4 (induced by source paper "on connectivity and robustness in random intersection graphs"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "resilient continuous time consensus in fractional robust networks"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"
    - "robustness of information diffusion algorithms to locally bounded adversaries"
    - "component evolution in general random intersection graphs"

Connected through hyperedge HE-5 (induced by source paper "recent results on fault tolerant consensus in message passing networks"):
  with members:
    - "xft practical fault tolerance beyond crashes"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "iterative approximate consensus in the presence of byzantine link failures"
    - "asynchronous convex consensus in the presence of crash faults"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"

Connected through hyperedge HE-6 (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"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"

Connected through hyperedge HE-7 (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"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
    - "robustness of information diffusion algorithms to locally bounded adversaries"
    - "component evolution in general random intersection graphs"

Connected through hyperedge HE-8 (induced by source paper "exact byzantine consensus in directed graphs"):
  with members:
    - "iterative byzantine vector consensus in incomplete graphs"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "perfectly secure message transmission revisited"

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.SI(Social and Information Networks)