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 molecular communications model for drug delivery"
  Abstract: This paper considers the scenario of a targeted drug delivery system, which consists of deploying a number of biological nanomachines close to a biological target (e.g., a tumor), able to deliver drug molecules in the diseased area. Suitably located transmitters are designed to release a continuous flow of drug molecules in the surrounding environment, where they diffuse and reach the target. These molecules are received when they chemically react with compliant receptors deployed on the receiver surface. In these conditions, if the release rate is relatively high and the drug absorption time is significant, congestion may happen, essentially at the receiver site. This phenomenon limits the drug absorption rate and makes the signal transmission ineffective, with an undesired diffusion of drug molecules elsewhere in the body. The original contribution of this paper consists of a theoretical analysis of the causes of congestion in diffusion-based molecular communications. For this purpose, it is proposed a reception model consisting of a set of pure loss queuing systems. The proposed model exhibits an excellent agreement with the results of a simulation campaign made by using the Biological and Nano-Scale communication simulator version 2 (BiNS2), a well-known simulator for molecular communications, whose reliability has been assessed through in vitro experiments. The obtained results can be used in rate control algorithms to optimally determine the optimal release rate of molecules in drug delivery applications.

Connected through hyperedge HE-1 (induced by source paper "a novel time based modulation scheme in time asynchronous channels for molecular communications"):
  with members:
    - "spatial modulation for molecular communication"
    - "exploiting diversity in molecular timing channels via order statistics"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "diversity gain of one shot communication over molecular timing channels"
    - "optimal detection for diffusion based molecular timing channels"
    - "on the capacity of diffusion based molecular timing channels"
    - "on the impact of time synchronization in molecular timing channels"
    - "tcp like molecular communications"

Connected through hyperedge HE-2 (induced by source paper "diffusive mobile mc with absorbing receivers stochastic analysis and applications"):
  with members:
    - "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "diffusive mobile molecular communications over time variant channels"
    - "diffusive molecular communications with reactive signaling"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "a novel molecular communication system using acids bases and hydrogen ions"

Connected through hyperedge HE-3 (induced by source paper "diffusion based molecular communication channel in presence of a probabilistic absorber single receptor model and congestion analysis"):
  with members:
    - "applications of molecular communications to medicine a survey"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel impulse responses in diffusive molecular communication with spherical transmitters"
    - "channel estimation for diffusive molecular communications"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-4 (induced by source paper "channel modeling for diffusive molecular communication a tutorial review"):
  with members:
    - "a survey of biological building blocks for synthetic molecular communication systems"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusion based molecular communications"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "modeling duct flow for molecular communication"

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.ET(Emerging Technologies)