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: "a model of internet topology using k shell decomposition"
  Abstract: We study a map of the Internet (at the autonomous systems level), by introducing and using the method of k-shell decomposition and the methods of percolation theory and fractal geometry, to find a model for the structure of the Internet. In particular, our analysis uses information on the connectivity of the network shells to separate, in a unique (no parameters) way, the Internet into three subcomponents: (i) a nucleus that is a small (≈100 nodes), very well connected globally distributed subgraph; (ii) a fractal subcomponent that is able to connect the bulk of the Internet without congesting the nucleus, with self-similar properties and critical exponents predicted from percolation theory; and (iii) dendrite-like structures, usually isolated nodes that are connected to the rest of the network through the nucleus only. We show that our method of decomposition is robust and provides insight into the underlying structure of the Internet and its functional consequences. Our approach of decomposing the network is general and also useful when studying other complex networks.

Connected through hyperedge HE-1 (induced by source paper "target privacy preserving for social networks"):
  with members:
    - "privacy in social media identification mitigation and applications"
    - "multi round influence maximization"
    - "contaminant removal for android malware detection systems"
    - "preserving link privacy in social network based systems"
    - "systematic topology analysis and generation using degree correlations"

Connected through hyperedge HE-2 (induced by source paper "content based features to rank influential hidden services of the tor darknet"):
  with members:
    - "rosf leveraging information retrieval and supervised learning for recommending code snippets"
    - "the language of legal and illegal activity on the darknet"
    - "starspace embed all the things"
    - "a multi task approach for named entity recognition in social media data"
    - "inception v4 inception resnet and the impact of residual connections on learning"
    - "empirical evaluation of rectified activations in convolutional network"
    - "content and popularity analysis of tor hidden services"

Connected through hyperedge HE-3 (induced by source paper "k core minimization a game theoretic approach"):
  with members:
    - "towards scalable network delay minimization"
    - "boosting information spread an algorithmic approach"
    - "social resilience in online communities the autopsy of friendster"
    - "preventing unraveling in social networks gets harder"
    - "parameterized exact and approximation algorithms for maximum k set cover and related satisfiability problems"
    - "graph measures and network robustness"

Connected through hyperedge HE-4 (induced by source paper "the graph structure of the internet at the autonomous systems level during ten years"):
  with members:
    - "internet topology over time"
    - "the internet as level topology three data sources and one definitive metric"

Connected through hyperedge HE-5 (induced by source paper "evolution of the internet at the autonomous systems level during a decade"):
  with members:
    - "internet topology over time"

Connected through hyperedge HE-6 (induced by source paper "estimating shell index in a graph with local information"):
  with members:
    - "global rank estimation"
    - "a faster method to estimate closeness centrality ranking"
    - "degree ranking using local information"
    - "modeling memetics using edge diversity"
    - "pseudo cores the terminus of an intelligent viral meme s trajectory"
    - "rank me thou shalln t compare me"
    - "evolving models for meso scale structures"
    - "understanding spreading patterns on social networks based on network topology"

Connected through hyperedge HE-7 (induced by source paper "parameter free network sparsification and data reduction by minimal algorithmic information loss"):
  with members:
    - "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability"
    - "low algorithmic complexity entropy deceiving graphs"
    - "algorithmic data analytics small data matters and correlation versus causation"
    - "a decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity"
    - "the google similarity distance"
    - "the similarity metric"

Connected through hyperedge HE-8 (induced by source paper "data dimension reduction and network sparsification based on minimal algorithmic information loss"):
  with members:
    - "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability"
    - "low algorithmic complexity entropy deceiving graphs"
    - "correspondence and independence of numerical evaluations of algorithmic information measures"
    - "graph sparsification by effective resistances"
    - "the google similarity distance"
    - "the similarity metric"

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)