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: "secure and reconfigurable network design for critical information dissemination in the internet of battlefield things iobt"
  Abstract: The Internet of things (IoT) is revolutionizing the management and control of automated systems leading to a paradigm shift in areas such as smart homes, smart cities, health care, transportation, etc. The IoT technology is also envisioned to play an important role in improving the effectiveness of military operations in battlefields. The interconnection of combat equipment and other battlefield resources for coordinated automated decisions is referred to as the Internet of battlefield things (IoBT). IoBT networks are significantly different from traditional IoT networks due to the battlefield specific challenges such as the absence of communication infrastructure, and the susceptibility of devices to cyber and physical attacks. The combat efficiency and coordinated decision-making in war scenarios depends highly on real-time data collection, which in turn relies on the connectivity of the network and the information dissemination in the presence of adversaries. This work aims to build the theoretical foundations of designing secure and reconfigurable IoBT networks. Leveraging the theories of stochastic geometry and mathematical epidemiology, we develop an integrated framework to study the communication of mission-critical data among different types of network devices and consequently design the network in a cost effective manner.

Connected through hyperedge HE-1 (induced by source paper "modeling analysis and mitigation of dynamic botnet formation in wireless iot networks"):
  with members:
    - "designing security aware incentives for computation offloading via device to device communication"
    - "an overview of the transmission capacity of wireless networks"
    - "outage local throughput and capacity of random wireless networks"

Connected through hyperedge HE-2 (induced by source paper "a multi layer feedback system approach to resilient connectivity of remotely deployed mobile internet of things"):
  with members:
    - "placement optimization of uav mounted mobile base stations"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "optimizing mission critical data dissemination in massive iot networks"
    - "a distributed approach for networked flying platform association with small cells in 5g networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"

Connected through hyperedge HE-3 (induced by source paper "cognitive connectivity resilience in multi layer remotely deployed mobile internet of things"):
  with members:
    - "optimizing mission critical data dissemination in massive iot networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "resilient and decentralized control of multi level cooperative mobile networks to maintain connectivity under adversarial environment"

Connected through hyperedge HE-4 (induced by source paper "optimizing mission critical data dissemination in massive iot networks"):
  with members:
    - "mean interference in hard core wireless 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)