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: "dimes let the internet measure itself"
  Abstract: Today's Internet maps, which are all collected from a small number of vantage points, are falling short of being accurate. We suggest here a paradigm shift for this task. DIMES is a distributed measurement infrastructure for the Internet that is based on the deployment of thousands of light weight measurement agents around the globe. #R##N#We describe the rationale behind DIMES deployment, discuss its design trade-offs and algorithmic challenges, and analyze the structure of the Internet as it seen with DIMES.

Connected through hyperedge HE-1 (induced by source paper "big data for traffic monitoring and management"):
  with members:
    - "a first look at quic in the wild"

Connected through hyperedge HE-2 (induced by source paper "few throats to choke on the current structure of the internet"):
  with members:
    - "mending wall on the implementation of censorship in india"
    - "encore lightweight measurement of web censorship with cross origin requests"
    - "the anatomy of web censorship in pakistan"
    - "government mandated blocking of foreign web content"

Connected through hyperedge HE-3 (induced by source paper "occam an optimization based approach to network inference"):
  with members:
    - "topology discovery of sparse random graphs with few participants"
    - "efficient algorithms for large scale topology discovery"

Connected through hyperedge HE-4 (induced by source paper "the international postal network and other global flows as proxies for national wellbeing"):
  with members:
    - "keep your friends close and your facebook friends closer a multiplex network approach to the analysis of offline and online social ties"
    - "big questions for social media big data representativeness validity and other methodological pitfalls"
    - "a degree centrality in multi layered social network"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-5 (induced by source paper "deductive way of reasoning about the internet as level topology"):
  with members:
    - "sustaining the internet with hyperbolic mapping"
    - "modeling the ipv6 internet as level topology"
    - "an integrated model of traffic geography and economy in the internet"

Connected through hyperedge HE-6 (induced by source paper "ricci curvature of the internet topology"):
  with members:
    - "euclidean versus hyperbolic congestion in idealized versus experimental networks"
    - "mapping the gnutella network properties of large scale peer to peer systems and implications for system design"

Connected through hyperedge HE-7 (induced by source paper "a new intrinsic way to measure ixp performance an experience in bolivia"):
  with members:
    - "exploring networks with traceroute like probes theory and simulations"

Connected through hyperedge HE-8 (induced by source paper "metric tree like structures in real life networks an empirical study"):
  with members:
    - "computing the gromov hyperbolicity of a discrete metric space"
    - "defining and evaluating network communities based on ground truth"
    - "on the hyperbolicity of small world and tree like random graphs"
    - "community structure in large networks natural cluster sizes and the absence of large well defined clusters"

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)