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 "scalable and generalizable social bot detection through data selection"):
  Abstract: Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models still face generalization and scalability challenges, which greatly limit their applications. In this paper we propose a framework that uses minimal account metadata, enabling efficient analysis that scales up to handle the full stream of public tweets of Twitter in real time. To ensure model accuracy, we build a rich collection of labeled datasets for training and validation. We deploy a strict validation system so that model performance on unseen datasets is also optimized, in addition to traditional cross-validation. We find that strategically selecting a subset of training data yields better model accuracy and generalization than exhaustively training on all available data. Thanks to the simplicity of the proposed model, its logic can be interpreted to provide insights into social bot characteristics.

Includes members:
  Member "real time event detection on social data streams":
    also connected through other hyperedges:
      (none)
  Member "rtbust exploiting temporal patterns for botnet detection on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mis information operations an integrated perspective")
  Member "its all in a name detecting and labeling bots by their name":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "online reactions to the 2017 unite the right rally in charlottesville measuring polarization in twitter networks using media followership")
  Member "arming the public with artificial intelligence to counter social bots":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "bot electioneering volume visualizing social bot activity during elections":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "uncovering coordinated networks on social media")
  Member "cashtag piggybacking uncovering spam and bot activity in stock microblogs on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the art of social bots a review and a refined taxonomy")
  Member "consistent individualized feature attribution for tree ensembles":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "generating interpretable poverty maps using object detection in satellite images")
  Member "lobo evaluation of generalization deficiencies in twitter bot classifiers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the art of social bots a review and a refined taxonomy")

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)