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: "using dimensional analysis to assess scalability and accuracy in molecular communication"
  Abstract: In this paper, we apply dimensional analysis to study a diffusive molecular communication system that uses diffusing enzymes in the propagation environment to mitigate intersymbol interference. The enzymes bind to information molecules and then degrade them so that they cannot interfere with the detection of future transmissions at the receiver. We determine when it is accurate to assume that the concentration of information molecules throughout the receiver is constant and equal to that expected at the center of the receiver. We show that a lower bound on the expected number of molecules observed at the receiver can be arbitrarily scaled over the environmental parameters, and generalize how the accuracy of the lower bound is qualitatively impacted by those parameters.

Connected through hyperedge HE-1 (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"

Connected through hyperedge HE-2 (induced by source paper "symbol by symbol maximum likelihood detection for cooperative molecular communication"):
  with members:
    - "maximum likelihood detection for cooperative molecular communication"
    - "cooperative abnormality detection via diffusive molecular communications"
    - "convex optimization of distributed cooperative detection in multi receiver molecular communication"
    - "abnormality detection in correlated gaussian molecular nano networks design and analysis"
    - "distributed cooperative detection for multi receiver molecular communication"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"

Connected through hyperedge HE-3 (induced by source paper "maximum likelihood detection for cooperative molecular communication"):
  with members:
    - "cooperative abnormality detection via diffusive molecular communications"
    - "convex optimization of distributed cooperative detection in multi receiver molecular communication"
    - "distributed cooperative detection for multi receiver molecular communication"
    - "molecular mimo from theory to prototype"
    - "molecular communications channel model and physical layer techniques"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"

Connected through hyperedge HE-4 (induced by source paper "analyzing large scale multiuser molecular communication via 3d stochastic geometry"):
  with members:
    - "reactive receiver modeling for diffusive molecular communication systems with molecule degradation"
    - "3d stochastic geometry model for large scale molecular communication systems"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "physical layer security in three tier wireless sensor networks a stochastic geometry approach"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "isi mitigation techniques in molecular communication"
    - "effect of degradation in molecular communication impairment or enhancement"

Connected through hyperedge HE-5 (induced by source paper "convex optimization of distributed cooperative detection in multi receiver molecular communication"):
  with members:
    - "distributed cooperative detection for multi receiver molecular communication"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "design and analysis of wireless communication systems using diffusion based molecular communication among bacteria"
    - "extended master equation models for molecular communication networks"

Connected through hyperedge HE-6 (induced by source paper "distributed cooperative detection for multi receiver molecular communication"):
  with members:
    - "maximum likelihood detection for cooperative molecular communication"
    - "convex optimization of distributed cooperative detection in multi receiver molecular communication"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "design and analysis of wireless communication systems using diffusion based molecular communication among bacteria"

Connected through hyperedge HE-7 (induced by source paper "active versus passive receiver model transforms for diffusive molecular communication"):
  with members:
    - "channel estimation techniques for diffusion based molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "effect of degradation in molecular communication impairment or enhancement"
    - "channel and noise models for nonlinear molecular communication systems"
    - "tabletop molecular communication text messages through chemical signals"

Connected through hyperedge HE-8 (induced by source paper "3d stochastic geometry model for large scale molecular communication systems"):
  with members:
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "physical layer security in three tier wireless sensor networks a stochastic geometry approach"
    - "molecular communication with a reversible adsorption receiver"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive 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.IT(Information Theory)