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: "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
  Abstract: This work considers the problem of flow-induced diffusive molecular communication under various mobility conditions such as (i) both transmitter (TX) and receiver (RX) nanomachines are mobile, (ii) TX is mobile and RX is fixed, and (iii) TX is fixed and RX is mobile. Closed-form expressions for the probability density function (PDF) of the first hitting time under the aforementioned mobile scenarios are derived, by characterizing the movement of the nanomachines and information molecules using Brownian motion with positive drift. The derived PDF expressions are validated through particle-based simulations. Based on these results, the performance of molecular communication with on-off keying (OOK) modulation in flow-induced diffusive channels is investigated. In particular, closed-form expressions for the probabilities of detection and false alarm with optimal Likelihood ratio test (LRT) based decision rule, probability of error, and the capacity in the presence of inter-symbol interference, counting errors, and noise from the other sources are derived. Simulation results are presented to verify the theoretical results and to yield insights into the system performance for different mobility conditions.

Connected through hyperedge HE-1 (induced by source paper "diffusive mobile mc with absorbing receivers stochastic analysis and applications"):
  with members:
    - "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 molecular communications model for drug delivery"
    - "a novel molecular communication system using acids bases and hydrogen ions"

Connected through hyperedge HE-2 (induced by source paper "abnormality detection inside blood vessels with mobile nanomachines"):
  with members:
    - "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"
    - "joint channel parameter estimation via diffusive molecular communication"

Connected through hyperedge HE-3 (induced by source paper "impact of cooperation in flow induced diffusive mobile molecular communication"):
  with members:
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"
    - "arrival modeling and error analysis for molecular communication via diffusion with drift"
    - "relaying in 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)