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 "on the influence of social bots in online protests"):
  Abstract: Social bots can affect online communication among humans. We study this phenomenon by focusing on #YaMeCanse, the most active protest hashtag in the history of Twitter in Mexico. Accounts using the hashtag are classified using the BotOrNot bot detection tool. Our preliminary analysis suggests that bots played a critical role in disrupting online communication about the protest movement.

Includes members:
  Member "botornot a system to evaluate social bots":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "the rise of social bots":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a feature driven approach for identifying pathogenic social media accounts")
  Member "bots strongerin and brexit computational propaganda during the uk eu referendum":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how many bots are you following")
  Member "sifting robotic from organic text a natural language approach for detecting automation on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the art of social bots a review and a refined taxonomy")
  Member "vaporous marketing uncovering pervasive electronic cigarette advertisements on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deception strategies and threats for online discussions")
  Member "the new war correspondents the rise of civic media curation in urban warfare":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on identifying disaster related tweets matching based or learning based")
  Member "a meta analysis of state of the art electoral prediction from twitter data":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "measuring relative opinion from location based social media a case study of the 2016 u s presidential election")
  Member "information transfer in social media":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "detecting social influence in event cascades by comparing discriminative rankers")

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)