human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "diffusion based molecular communication principle key technologies and challenges"):
  Abstract: Molecular communication (MC) is a kind of communication technology based on biochemical molecules for internet of bio-nano things, in which the biochemical molecule is used as the information carrier for the interconnection of nano-devices. In this paper, the basic principle of diffusion based MC and the corresponding key technologies are comprehensively surveyed. In particular, the state-of-the-art achievements relative to the diffusion based MC are discussed and compared, including the system model, the system performance analysis with key influencing factors, the information coding and modulation techniques. Meanwhile, the multi-hop nano-network based on the diffusion MC is presented as well. Additionally, given the extensiveness of the research area, open issues and challenges are presented to spur future investigations, in which the involvement of channel model, information theory, self-organizing nano-network, and biochemical applications are put forward.

Includes members:
  Member "physical layer network coding in molecular two way relay networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on medium chemical reaction in diffusion based molecular communication a two way relaying example")
  Member "capacity limits of diffusion based molecular timing channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting diversity in molecular timing channels via order statistics")
  Member "on the capacity of level and type modulation in molecular communication with ligand receptors":
    also connected through other hyperedges:
      (none)
  Member "amplify and forward relaying in two hop diffusion based molecular communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "symbol by symbol maximum likelihood detection for cooperative molecular communication")
  Member "relaying in diffusion based molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "end to end performance optimization in hybrid molecular and electromagnetic communications")
  Member "a unifying model for external noise sources and isi in diffusive molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "extended master equation models for molecular communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "diffusion based nanonetworking a new modulation technique and performance analysis":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "simulation study and analysis of diffusive molecular communications with an apertured plane")

Question: Please tell me which class the source paper 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)