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 "mapping an audience centric world wide web a departure from hyperlink analysis"):
  Abstract: This paper argues that maps of the Web's structure based solely on technical infrastructure such as hyperlinks may bear little resemblance to maps based on Web usage, as cultural factors drive the latter to a larger extent. To test this thesis, the study constructs two network maps of 1000 globally most popular Web Domains, one based on hyperlinks and the other using an "audience centric" approach with ties based on shared audience traffic between these domains. Analyses of the two networks reveal that unlike the centralized structure of the hyperlinks network with few dominant "core" websites, the audience network is more decentralized and clustered to a larger extent along geo-linguistic lines.

Includes members:
  Member "how do global audiences take shape the role of institutions and culture in patterns of web use":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the impact of projection and backboning on network topologies")
  Member "does the great firewall really isolate the chinese integrating access blockage with cultural factors to explain web user behavior":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how do global audiences take shape the role of institutions and culture in patterns of web use")
  Member "how web 1 0 fails the mismatch between hyperlinks and clickstreams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pathways to fragmentation user flows and web distribution infrastructures")
  Member "the tower of babel meets web 2 0 user generated content and its applications in a multilingual context":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "measuring the importance of user generated content to search engines")

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)