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 "caveat emptor computational social science large scale missing data in a widely published reddit corpus"):
  Abstract: As researchers use computational methods to study complex social behaviors at scale, the validity of this computational social science depends on the integrity of the data. On July 2, 2015, Jason Baumgartner published a dataset advertised to include “every publicly available Reddit comment” which was quickly shared on Bittorrent and the Internet Archive. This data quickly became the basis of many academic papers on topics including machine learning, social behavior, politics, breaking news, and hate speech. We have discovered substantial gaps and limitations in this dataset which may contribute to bias in the findings of that research. In this paper, we document the dataset, substantial missing observations in the dataset, and the risks to research validity from those gaps. In summary, we identify strong risks to research that considers user histories or network analysis, moderate risks to research that compares counts of participation, and lesser risk to machine learning research that avoids making representative claims about behavior and participation on Reddit.

Includes members:
  Member "the rise and fall of network stars analyzing 2 5 million graphs to reveal how high degree vertices emerge over time":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the pushshift reddit dataset")
  Member "cats and captions vs creators and the clock comparing multimodal content to context in predicting relative popularity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the pushshift reddit dataset")
  Member "a web of hate tackling hateful speech in online social spaces":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "temporal effects of unmoderated hate speech in gab")
  Member "the impact of crowds on news engagement a reddit case study":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the pushshift reddit dataset")
  Member "science askscience and badscience on the coexistence of highly related communities":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "retrieving top weighted triangles in graphs")
  Member "analyzing complex network user arrival patterns and their effect on network topologies":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "generic anomalous vertices detection utilizing a link prediction algorithm")
  Member "averaging gone wrong using time aware analyses to better understand behavior":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on bias and fairness in machine learning")
  Member "all who wander on the prevalence and characteristics of multi community engagement":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "content removal as a moderation strategy compliance and other outcomes in the changemyview community")

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)