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: "molecular communication physically realistic models and achievable information rates"
  Abstract: Molecular communication is a biologically-inspired method of communication with attractive properties for microscale and nanoscale devices. In molecular communication, messages are transmitted by releasing a pattern of molecules at a transmitter, which propagate through a fluid medium towards a receiver. In this paper, molecular communication is formulated as a mathematical communication problem in an information-theoretic context. Physically realistic models are obtained, with sufficient abstraction to allow manipulation by communication and information theorists. Although mutual information in these channels is intractable, we give sequences of upper and lower bounds on the mutual information which trade off complexity and performance, and present results to illustrate the feasibility of these bounds in estimating the true mutual information.

Connected through hyperedge HE-1 (induced by source paper "capacity of diffusion based molecular communication networks over lti poisson channels"):
  with members:
    - "mathematical foundations for information theory in diffusion based molecular communications"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"
    - "capacity of diffusion based molecular communication with ligand receptors"
    - "capacity of discrete molecular diffusion channels"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-2 (induced by source paper "scaling laws for molecular communication"):
  with members:
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "capacity of diffusion based molecular communication with ligand receptors"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-3 (induced by source paper "capacity of diffusion based molecular communication with ligand receptors"):
  with members:
    - "capacity of discrete molecular diffusion channels"
    - "consensus problem under diffusion based molecular communication"

Connected through hyperedge HE-4 (induced by source paper "molecular communication in fluid media the additive inverse gaussian noise channel"):
  with members:
    - "communication under strong asynchronism"

Connected through hyperedge HE-5 (induced by source paper "capacity of discrete molecular diffusion channels"):
  with members:
    - "molecular communication in fluid media the additive inverse gaussian noise channel"
    - "consensus problem under diffusion based 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)