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: "stable distributions as noise models for molecular communication"
  Abstract: In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particles of the same type, and iii) modulation on the time between two consecutive information particles of different types. We show that each channel can be represented as an additive noise channel, where the noise follows one of the subclasses of stable distributions. We provide expressions for the probability density function of the noise terms, and numerical evaluations for the probability density function and cumulative density function. We also show that the tails are longer than Gaussian distribution, as expected.

Connected through hyperedge HE-1 (induced by source paper "abnormality detection inside blood vessels with mobile nanomachines"):
  with members:
    - "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "advanced target detection via molecular communication"
    - "cooperative abnormality detection via diffusive molecular communications"
    - "diffusive mobile molecular communications over time variant channels"
    - "modeling duct flow for molecular communication"
    - "abnormality detection in correlated gaussian molecular nano networks design and analysis"
    - "channel estimation for diffusive molecular communications"

Connected through hyperedge HE-2 (induced by source paper "compound poisson noise sources in diffusion based molecular communication"):
  with members:
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "tcp like molecular communications"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "isi mitigation techniques in molecular communication"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"
    - "capacity of diffusion based molecular communication with ligand receptors"

Connected through hyperedge HE-3 (induced by source paper "normal inverse gaussian approximation for arrival time difference in flow induced molecular communications"):
  with members:
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "symbol interval optimization for molecular communication with drift"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-4 (induced by source paper "non coherent detection for diffusive molecular communications"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusive molecular communication systems"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "low complexity noncoherent signal detection for nanoscale molecular communications"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-5 (induced by source paper "optimal detection for diffusion based molecular timing channels"):
  with members:
    - "inscribed matter communication part ii"
    - "capacity limits of diffusion based molecular timing channels"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "design and optimizing of on chip kinesin substrates for molecular communication"
    - "how to achieve the capacity of asymmetric channels"
    - "tabletop molecular communication text messages through chemical signals"

Connected through hyperedge HE-6 (induced by source paper "on the impact of transposition errors in diffusion based channels"):
  with members:
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular communications channel model and physical layer techniques"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "tcp like molecular communications"
    - "isi mitigation techniques in molecular communication"
    - "channel and noise models for nonlinear molecular communication systems"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-7 (induced by source paper "capacity limits of diffusion based molecular timing channels"):
  with members:
    - "inscribed matter communication part ii"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "molecular communications channel model and physical layer techniques"
    - "design and optimizing of on chip kinesin substrates for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "tabletop molecular communication text messages through chemical signals"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"

Connected through hyperedge HE-8 (induced by source paper "on the impact of time synchronization in molecular timing channels"):
  with members:
    - "optimal detection for diffusion based molecular timing channels"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "tcp like molecular communications"
    - "tabletop molecular communication text messages through chemical signals"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"

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.IT(Information Theory)