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 "consumers and curators browsing and voting patterns on reddit"):
  Abstract: As crowd-sourced curation of news and information become the norm, it is important to understand not only how individuals consume information through social news Web sites, but also how they contribute to their ranking systems. In the present work, we introduce and make available a new dataset containing the activity logs that recorded all activity for 309 Reddit users for one year. Using this newly collected data, we present findings that highlight the browsing and voting behavior of the study's participants. We find that most users do not read the article that they vote on, and that, in total, 73% of posts were rated (ie, upvoted or downvoted) without first viewing the content. We also show evidence of cognitive fatigue in the browsing sessions of users that are most likely to vote.

Includes members:
  Member "predicting user interactions on reddit":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "characterizing behavioral trends in a community driven discussion platform")
  Member "rating effects on social news posts and comments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "characterizing behavioral trends in a community driven discussion platform")
  Member "evidence of online performance deterioration in user sessions on reddit":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "incentivized blockchain based social media platforms a case study of steemit")
  Member "user session identification based on strong regularities in inter activity time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deep attentive study session dropout prediction in mobile learning environment")
  Member "social dynamics of digg":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep collaborative embedding for information cascade prediction")
  Member "information contagion an empirical study of the spread of news on digg and twitter social networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "modeling information diffusion in online social networks with partial differential equations")

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.SI(Social and Information Networks)