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: "inferring as relationships dead end or lively beginning"
  Abstract: Recent techniques for inferring business relationships between ASs [1,2] have yielded maps that have extremely few invalid BGP paths in the terminology of Gao[3]. However, some relationships inferred by these newer algorithms are incorrect, leading to the deduction of unrealistic AS hierarchies. We investigate this problem and discover what causes it. Having obtained such insight, we generalize the problem of AS relationship inference as a multiobjective optimization problem with node-degree-based corrections to the original objective function of minimizing the number of invalid paths. We solve the generalized version of the problem using the semidefinite programming relaxation of the MAX2SAT problem. Keeping the number of invalid paths small, we obtain a more veracious solution than that yielded by recent heuristics.

Connected through hyperedge HE-1 (induced by source paper "evolution of the internet as level ecosystem"):
  with members:
    - "graph annotations in modeling complex network topologies"
    - "an integrated model of traffic geography and economy in the internet"
    - "chinese internet as level topology"
    - "as relationships inference and validation"
    - "the workshop on internet topology wit report"
    - "systematic topology analysis and generation using degree correlations"
    - "the internet as level topology three data sources and one definitive metric"
    - "understanding the evolution dynamics of internet topology"

Connected through hyperedge HE-2 (induced by source paper "graph annotations in modeling complex network topologies"):
  with members:
    - "on compact routing for the internet"
    - "as relationships inference and validation"
    - "systematic topology analysis and generation using degree correlations"
    - "the internet as level topology three data sources and one definitive metric"
    - "revealing the autonomous system taxonomy the machine learning approach"
    - "exploring networks with traceroute like probes theory and simulations"

Connected through hyperedge HE-3 (induced by source paper "on cycles in as relationships"):
  with members:
    - "as relationships inference and validation"

Connected through hyperedge HE-4 (induced by source paper "as relationships inference and validation"):
  with members:
    - "the internet as level topology three data sources and one definitive metric"
    - "bounding the bias of tree like sampling in ip topologies"
    - "exploring networks with traceroute like probes theory and simulations"
    - "k core decomposition a tool for the visualization of large scale networks"
    - "dimes let the internet measure itself"

Connected through hyperedge HE-5 (induced by source paper "near deterministic inference of as relationships"):
  with members:
    - "as relationships inference and validation"

Connected through hyperedge HE-6 (induced by source paper "the internet as level topology three data sources and one definitive metric"):
  with members:
    - "exploring networks with traceroute like probes theory and simulations"
    - "k core decomposition a tool for the visualization of large scale networks"
    - "accurately modeling the internet topology"

Connected through hyperedge HE-7 (induced by source paper "revealing the autonomous system taxonomy the machine learning approach"):
  with members:
    - "as relationships inference and validation"

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.NI(Networking and Internet Architecture)