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: "lightweight mobile ad hoc network routing protocols for smartphones"
  Abstract: Mobile Ad-hoc Network (MANET) is one of the promising wireless networking approaches where a group of wireless devices can establish communication among themselves without any infrastructure. MANET has successfully been implemented in the emergency communication, battlefield and Vehicular Ad-hoc Network (VANET) etc. Recently, MANET has also been studied to establish village level off-the-grid telephony system using mobile phones (smartphones). As the mobile phones and other modern electronic devices are increasingly equipped with efficient wireless Wi-Fi devices, phone based MANET implementation will open new horizons for off-the-self services for phones as well as IoT implementations. However, current MANET routing protocols show poor performances in implementing MANET among mobile phones due to the requirements of high memory, commutation power and high energy usage. The performance seriously degrades when the number of phones increases in the network. Therefore, a lightweight routing protocol is the key requirement for successful implementation of MANET using mobile phones. This report presents relevant routing protocol designs and their applicability to develop lightweight MANET routing protocols for mobile phones. In conclusion, we have presented the challenges and research directions in this field

Connected through hyperedge HE-1 (induced by source paper "diffusion on dynamic contact networks with indirect transmission links"):
  with members:
    - "impact of indirect contacts in emerging infectious disease on social networks"
    - "least cost influence maximization across multiple social networks"
    - "diffusion in colocation contact networks the impact of nodal spatiotemporal dynamics"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "common neighbours and the local community paradigm for topological link prediction in bipartite networks"
    - "latent self exciting point process model for spatial temporal networks"
    - "time varying graphs and dynamic networks"
    - "information propagation speed in mobile and delay tolerant 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)