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 "tourism destinations as digital business ecosystems"):
  Abstract: Tourism has been experiencing very relevant changes since when Information and Communication Technologies (ICTs), in all their forms, have started to pervade the industry and the market. In the last decade, a new concept gained the attention of both researchers and practitioners, that of Digital Business Ecosystem (DBE). It can be considered as a technological infrastructure aimed at creating a digital environment to support and enhance networking between enterprises and stakeholders operating within a sector. Aim of this paper is to assess the extent to which the technological connection has affected the structural configuration of the tourism system and, specifically, of tourism destinations. The present study argues that two components can be considered when assessing the relationships among stakeholders within a tourism destination: a real and a virtual one. Further it shows how these two components are structurally strongly coupled and co-evolve forming a single system.

Includes members:
  Member "conjoining speeds up information diffusion in overlaying social physical networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "challenges in the decentralised web the mastodon case")
  Member "diffusion of real time information in social physical networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "counting triangles tunable clustering and the small world property in random key graphs extended version")
  Member "the abc of digital business ecosystems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ecosystem oriented distributed evolutionary computing")

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.CY(Computers and Society)