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: "as relationships inference and validation"
  Abstract: Research on performance, robustness, and evolution of the global Internet is fundamentally handicapped without accurate and thorough knowledge of the nature and structure of the contractual relationships between Autonomous Systems (ASs). In this work we introduce novel heuristics for inferring AS relationships. Our heuristics improve upon previous works in several technical aspects, which we outline in detail and demonstrate with several examples. Seeking to increase the value and reliability of our inference results, we then focus on validation of inferred AS relationships. We perform a survey with ASs' network administrators to collect information on the actual connectivity and policies of the surveyed ASs. Based on the survey results, we find that our new AS relationship inference techniques achieve high levels of accuracy: we correctly infer 96.5% customer to provider (c2p), 82.8% peer to peer (p2p), and 90.3% sibling to sibling (s2s) relationships. We then cross-compare the reported AS connectivity with the AS connectivity data contained in BGP tables. We find that BGP tables miss up to 86.2% of the true adjacencies of the surveyed ASs. The majority of the missing links are of the p2p type, which highlights the limitations of present measuring techniques to capture links of this type. Finally, to make our results easily accessible and practically useful for the community, we open an AS relationship repository where we archive, on a weekly basis, and make publicly available the complete Internet AS-level topology annotated with AS relationship information for every pair of AS neighbors.

Connected through hyperedge HE-1 (induced by source paper "pari a probabilistic approach to as relationships inference"):
  with members:
    - "tuffy scaling up statistical inference in markov logic networks using an rdbms"

Connected through hyperedge HE-2 (induced by source paper "middlepolice fine grained endpoint driven in network traffic control for proactive ddos attack mitigation"):
  with members:
    - "mirage towards deployable ddos defense for web applications"
    - "netfence preventing internet denial of service from inside out"
    - "active internet traffic filtering real time response to denial of service attacks"

Connected through hyperedge HE-3 (induced by source paper "network mapping by replaying hyperbolic growth"):
  with members:
    - "sustaining the internet with hyperbolic mapping"

Connected through hyperedge HE-4 (induced by source paper "evolution of the internet k dense structure"):
  with members:
    - "internet topology over time"
    - "phase changes in the evolution of the ipv4 and ipv6 as level internet topologies"
    - "systematic topology analysis and generation using degree correlations"
    - "k core decomposition of internet graphs hierarchies self similarity and measurement biases"

Connected through hyperedge HE-5 (induced by source paper "topological trends of internet content providers"):
  with members:
    - "a model of internet topology using k shell decomposition"
    - "the internet as level topology three data sources and one definitive metric"
    - "revealing the autonomous system taxonomy the machine learning approach"
    - "dimes let the internet measure itself"

Connected through hyperedge HE-6 (induced by source paper "the diffusion of networking technologies"):
  with members:
    - "influence maximization in continuous time diffusion networks"
    - "approximation algorithms for the traveling repairman and speeding deliveryman problems"
    - "dimes let the internet measure itself"

Connected through hyperedge HE-7 (induced by source paper "inferring internet as relationships based on bgp routing policies"):
  with members:
    - "near deterministic inference of as relationships"
    - "the rich club phenomenon in the internet topology"

Connected through hyperedge HE-8 (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"
    - "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"
    - "revealing the autonomous system taxonomy the machine learning approach"

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)