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: "a picture is worth a thousand words an empirical study on the influence of content visibility on diffusion processes within a virtual world"
  Abstract: Studying information diffusion and the spread of goods in the real world and in many digital services can be extremely difficult since information about the information flows is challenging to accurately track. How information spreads has commonly been analysed from the perspective of homophily, social influence, and initial seed selection. However, in virtual worlds and virtual economies, the movements of information and goods can be precisely tracked. Therefore, these environments create laboratories for the accurate study of information diffusion characteristics that have been difficult to study in prior research. In this paper, we study how content visibility as well as sender and receiver characteristics, the relationship between them, and the types of multilayer social network layers affect content absorption and diffusion in virtual world. The results show that prior visibility of distributed content is the strongest predictor of content adoption and its further spread across networks. Among other analysed factors, the mechanics of diffusion, content quality, and content adoption by users’ neighbours on the social activity layer had very strong influences on the adoption of new content.

Connected through hyperedge HE-1 (induced by source paper "interacting spreading processes in multilayer networks"):
  with members:
    - "quantifying layer similarity in multiplex networks a systematic study"
    - "an effective rumor containing strategy"
    - "co diffusion of social contagions"
    - "seed selection for information cascade in multilayer networks"
    - "a multilayer network dataset of interaction and influence spreading in a virtual world"
    - "competing spreading processes and immunization in multiplex networks"
    - "spreading processes in multilayer networks"

Connected through hyperedge HE-2 (induced by source paper "co contagion diffusion on multilayer networks"):
  with members:
    - "complex contagions a decade in review"
    - "co diffusion of social contagions"
    - "correlated cascades compete or cooperate"
    - "graphical evolutionary game for information diffusion over social networks"
    - "a game theoretical approach to broadcast information diffusion in social networks"

Connected through hyperedge HE-3 (induced by source paper "from the hands of an early adopter s avatar to virtual junkyards analysis of virtual goods lifetime survival"):
  with members:
    - "a multilayer network dataset of interaction and influence spreading in a virtual world"
    - "the online laboratory conducting experiments in a real labor market"

Connected through hyperedge HE-4 (induced by source paper "a multilayer network dataset of interaction and influence spreading in a virtual world"):
  with members:
    - "modeling epidemic spread in synthetic populations virtual plagues in massively multiplayer online games"

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.SI(Social and Information Networks)