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 "computational social scientist beware simpson s paradox in behavioral data"):
  Abstract: Observational data about human behavior is often heterogeneous, i.e., generated by subgroups within the population under study that vary in size and behavior. Heterogeneity predisposes analysis to Simpson's paradox, whereby the trends observed in data that has been aggregated over the entire population may be substantially different from those of the underlying subgroups. I illustrate Simpson's paradox with several examples coming from studies of online behavior and show that aggregate response leads to wrong conclusions about the underlying individual behavior. I then present a simple method to test whether Simpson's paradox is affecting results of analysis. The presence of Simpson's paradox in social data suggests that important behavioral differences exist within the population, and failure to take these differences into account can distort the studies' findings.

Includes members:
  Member "can you trust the trend discovering simpson s paradoxes in social data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on bias and fairness in machine learning")
  Member "dynamics of content quality in collaborative knowledge production":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantifying the impact of cognitive biases in question answering systems")
  Member "information is not a virus and other consequences of human cognitive limits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the opacity problem in social contagion")
  Member "evidence of online performance deterioration in user sessions on reddit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "incentivized blockchain based social media platforms a case study of steemit")
  Member "averaging gone wrong using time aware analyses to better understand behavior":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on bias and fairness in machine learning")
  Member "the simple rules of social contagion":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "neural diffusion model for microscopic cascade prediction")
  Member "portrait of an online shopper understanding and predicting consumer behavior":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "when your friends become sellers an empirical study of social commerce site beidian")
  Member "social dynamics of digg":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "deep collaborative embedding for information cascade prediction")

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)