human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "exploring cyberbullying and other toxic behavior in team competition online games"
  Abstract: In this work we explore cyberbullying and other toxic behavior in team competition online games. Using a dataset of over 10 million player reports on 1.46 million toxic players along with corresponding crowdsourced decisions, we test several hypotheses drawn from theories explaining toxic behavior. Besides providing large-scale, empirical based understanding of toxic behavior, our work can be used as a basis for building systems to detect, prevent, and counter-act toxic behavior.

Connected through hyperedge HE-1 (induced by source paper "detecting cyberbullying and cyberaggression in social media"):
  with members:
    - "mean birds detecting aggression and bullying on twitter"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "poised spotting twitter spam off the beaten paths"
    - "hate is not binary studying abusive behavior of gamergate on twitter"
    - "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web"
    - "a longitudinal measurement study of 4chan s politically incorrect forum and its effect on the web"
    - "deep residual learning for image recognition"
    - "deep learning and the information bottleneck principle"

Connected through hyperedge HE-2 (induced by source paper "political discussions in homogeneous and cross cutting communication spaces"):
  with members:
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "partisan sharing facebook evidence and societal consequences"
    - "efficient estimation of word representations in vector space"
    - "partisan asymmetries in online political activity"

Connected through hyperedge HE-3 (induced by source paper "what makes a good team a large scale study on the effect of team composition in honor of kings"):
  with members:
    - "deep neural networks for optimal team composition"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "xgboost a scalable tree boosting system"
    - "antisocial behavior in online discussion communities"
    - "echoes of power language effects and power differences in social interaction"

Connected through hyperedge HE-4 (induced by source paper "conversations gone awry detecting early signs of conversational failure"):
  with members:
    - "automated hate speech detection and the problem of offensive language"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "asking too much the rhetorical role of questions in political discourse"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "interpreting neural networks to improve politeness comprehension"
    - "a piece of my mind a sentiment analysis approach for online dispute detection"
    - "ex machina personal attacks seen at scale"
    - "conversational markers of constructive discussions"

Connected through hyperedge HE-5 (induced by source paper "opinion conflicts an effective route to detect incivility in twitter"):
  with members:
    - "peer to peer hate hate speech instigators and their targets"
    - "hate lingo a target based linguistic analysis of hate speech in social media"
    - "mean birds detecting aggression and bullying on twitter"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "deceiving google s perspective api built for detecting toxic comments"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "hate is not binary studying abusive behavior of gamergate on twitter"
    - "analyzing the targets of hate in online social media"

Connected through hyperedge HE-6 (induced by source paper "machine learning and semantic analysis of in game chat for cyberbullying"):
  with members:
    - "cyberbullying identification using participant vocabulary consistency"
    - "linguistic analysis of toxic behavior in an online video game"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"

Connected through hyperedge HE-7 (induced by source paper "the art of drafting a team oriented hero recommendation system for multiplayer online battle arena games"):
  with members:
    - "player skill decomposition in multiplayer online battle arenas"
    - "the proficiency congruency dilemma virtual team design and performance in multiplayer online games"

Connected through hyperedge HE-8 (induced by source paper "i would not plant apple trees if the world will be wiped analyzing hundreds of millions of behavioral records of players during an mmorpg beta test"):
  with members:
    - "linguistic analysis of toxic behavior in an online video game"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"
    - "comparing and combining sentiment analysis methods"
    - "modeling epidemic spread in synthetic populations virtual plagues in massively multiplayer online games"

Question: Please tell me which class the center node 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)