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 internet as level topology three data sources and one definitive metric"
  Abstract: We calculate an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP, and WHOIS. We discover that traceroute and BGP topologies are similar to one another but differ substantially from the WHOIS topology. Among the widely considered metrics, we find that the joint degree distribution appears to fundamentally characterize Internet AS topologies as well as narrowly define values for other important metrics. We discuss the interplay between the specifics of the three data collection mechanisms and the resulting topology views. In particular, we how how the data collection peculiarities explain differences in the resulting joint degree distributions of the respective topologies. Finally, we release to the community the input topology datasets, along with the scripts and output of our calculations. This supplement hould enable researchers to validate their models against real data and to make more informed election of topology data sources for their specific needs

Connected through hyperedge HE-1 (induced by source paper "the graph structure of the internet at the autonomous systems level during ten years"):
  with members:
    - "internet topology over time"
    - "a model of internet topology using k shell decomposition"

Connected through hyperedge HE-2 (induced by source paper "closed walk sampler an efficient method for estimating eigenvalues of large graphs"):
  with members:
    - "waddling random walk fast and accurate mining of motif statistics in large graphs"
    - "graph sample and hold a framework for big graph analytics"
    - "a space efficient streaming algorithm for triangle counting using the birthday paradox"

Connected through hyperedge HE-3 (induced by source paper "the thin bridges of as connectivity measuring dependency using as hegemony"):
  with members:
    - "nation state routing censorship wiretapping and bgp"
    - "accurately modeling the internet topology"

Connected through hyperedge HE-4 (induced by source paper "role discovery in networks"):
  with members:
    - "a boosting approach to learning graph representations"
    - "an information theoretic analysis of hard and soft assignment methods for clustering"
    - "does a daily deal promotion signal a distressed business an empirical investigation of small business survival"
    - "role dynamics fast mining of large dynamic networks"
    - "network sampling from static to streaming graphs"
    - "correlated non parametric latent feature models"
    - "on learning discrete graphical models using greedy methods"

Connected through hyperedge HE-5 (induced by source paper "hornet high speed onion routing at the network layer"):
  with members:
    - "scion five years later revisiting scalability control and isolation on next generation networks"
    - "dovetail stronger anonymity in next generation internet routing"
    - "andana anonymous named data networking application"

Connected through hyperedge HE-6 (induced by source paper "miuz measuring the impact of disconnecting a node"):
  with members:
    - "axioms for centrality"

Connected through hyperedge HE-7 (induced by source paper "scalable routing easy as pie a practical isometric embedding protocol technical report"):
  with members:
    - "sustaining the internet with hyperbolic mapping"
    - "on compact routing for the internet"
    - "dimes let the internet measure itself"

Connected through hyperedge HE-8 (induced by source paper "topological trends of internet content providers"):
  with members:
    - "a model of internet topology using k shell decomposition"
    - "as relationships inference and validation"
    - "revealing the autonomous system taxonomy the machine learning approach"
    - "dimes let the internet measure itself"

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)