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: "mobile conductance in sparse networks and mobility connectivity tradeoff"
  Abstract: In this paper, our recently proposed mobile-conductance based analytical framework is extended to the sparse settings, thus offering a unified tool for analyzing information spreading in mobile networks. A penalty factor is identified for information spreading in sparse networks as compared to the connected scenario, which is then intuitively interpreted and verified by simulations. With the analytical results obtained, the mobility-connectivity tradeoff is quantitatively analyzed to determine how much mobility may be exploited to make up for network connectivity deficiency.

Connected through hyperedge HE-1 (induced by source paper "virtual mimo boosted information propagation on highways"):
  with members:
    - "faster information propagation on highways a virtual mimo approach"
    - "gossip based information spreading in mobile networks"

Connected through hyperedge HE-2 (induced by source paper "connectivity in secure wireless sensor networks under transmission constraints"):
  with members:
    - "on topological properties of wireless sensor networks under the q composite key predistribution scheme with on off channels"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "k connectivity in secure wireless sensor networks with physical link constraints the on off channel model"
    - "performance of the eschenauer gligor key distribution scheme under an on off channel"
    - "component evolution in general random intersection graphs"

Connected through hyperedge HE-3 (induced by source paper "location aided energy balancing strategy in green cellular networks"):
  with members:
    - "adaptive learning of region based plsa model for total scene annotation"
    - "gossip based information spreading in mobile networks"
    - "green cellular networks a survey some research issues and challenges"

Connected through hyperedge HE-4 (induced by source paper "faster information propagation on highways a virtual mimo approach"):
  with members:
    - "gossip based information spreading in mobile networks"

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)