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: "arrival modeling and error analysis for molecular communication via diffusion with drift"
  Abstract: The arrival of molecules in molecular communication via diffusion (MCvD) is a counting process, exhibiting by its nature binomial distribution. Even if the binomial process describes well the arrival of molecules, when considering consecutively sent symbols, the process struggles to work with the binomial cumulative distribution function (CDF). Therefore, in the literature, Poisson and Gaussian approximations of the binomial distribution are used. In this paper, we analyze these two approximations of the binomial model of the arrival process in MCvD with drift. Considering the distance, drift velocity, and the number of emitted molecules, we investigate the regions in which either Poisson or Gaussian model is better in terms of root mean squared error (RMSE) of the CDFs; we confirm the boundaries of the region via numerical simulations. Moreover, we derive the error probabilities for continuous communication and analyze which model approximates it more accurately.

Connected through hyperedge HE-1 (induced by source paper "index modulation for molecular communication via diffusion systems"):
  with members:
    - "channel estimation for diffusive mimo molecular communications"
    - "machine learning based channel modeling for molecular mimo communications"
    - "spatial diversity in molecular communications"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "index modulation techniques for 5g wireless networks"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"

Connected through hyperedge HE-2 (induced by source paper "simulation study and analysis of diffusive molecular communications with an apertured plane"):
  with members:
    - "index modulation for molecular communication via diffusion systems"
    - "molecular information delivery in porous media"
    - "on the design of matched filters for molecule counting receivers"
    - "molecular signal modeling of a partially counting absorbing spherical receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "symbol interval optimization for molecular communication with drift"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "molecular information delivery in porous media"):
  with members:
    - "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques"

Connected through hyperedge HE-4 (induced by source paper "impact of cooperation in flow induced diffusive mobile molecular communication"):
  with members:
    - "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"
    - "relaying in diffusion based molecular communication"

Connected through hyperedge HE-5 (induced by source paper "design and performance analysis of dual and multi hop diffusive molecular communication systems"):
  with members:
    - "maximum likelihood detection for cooperative molecular communication"
    - "scw codes for maximum likelihood detection in diffusive molecular communications without channel state information"
    - "non coherent detection for diffusive molecular communications"
    - "channel estimation for diffusive molecular communications"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "symbol interval optimization for molecular communication with drift"
    - "molecular communication between two populations of bacteria"

Connected through hyperedge HE-6 (induced by source paper "mol eye a new metric for the performance evaluation of a molecular signal"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "transmit pulse shaping for molecular communications"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "capacity of discrete molecular diffusion channels"

Connected through hyperedge HE-7 (induced by source paper "modeling and simulation of molecular communication systems with a reversible adsorption receiver"):
  with members:
    - "3d stochastic geometry model for large scale molecular communication systems"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "joint channel parameter estimation via diffusive molecular communication"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"
    - "molecular communication with a reversible adsorption receiver"
    - "optimal demodulation of reaction shift keying signals in diffusion based molecular communication networks"
    - "variance constrained capacity of the molecular timing channel with synchronization error"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-8 (induced by source paper "abnormality detection in correlated gaussian molecular nano networks design and analysis"):
  with members:
    - "information rates of ask based molecular communication in fluid media"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "modeling and analysis of abnormality detection in biomolecular nano 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.ET(Emerging Technologies)