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: "linguistic analysis of toxic behavior in an online video game"
  Abstract: In this paper we explore the linguistic components of toxic behavior by using crowdsourced data from over 590 thousand cases of accused toxic players in a popular match-based competition game, League of Legends. We perform a series of linguistic analyses to gain a deeper understanding of the role communication plays in the expression of toxic behavior. We characterize linguistic behavior of toxic players and compare it with that of typical players in an online competition game. We also find empirical support describing how a player transitions from typical to toxic behavior. Our findings can be helpful to automatically detect and warn players who may become toxic and thus insulate potential victims from toxic playing in advance.

Connected through hyperedge HE-1 (induced by source paper "machine learning and semantic analysis of in game chat for cyberbullying"):
  with members:
    - "cyberbullying identification using participant vocabulary consistency"
    - "exploring cyberbullying and other toxic behavior in team competition online games"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"

Connected through hyperedge HE-2 (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:
    - "exploring cyberbullying and other toxic behavior in team competition online games"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "achievement and friends key factors of player retention vary across player levels in online multiplayer games"):
  with members:
    - "exploring cyberbullying and other toxic behavior in team competition online games"
    - "persistent sharing of fitness app status on twitter"
    - "the proficiency congruency dilemma virtual team design and performance in multiplayer online games"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"

Connected through hyperedge HE-4 (induced by source paper "exploring cyberbullying and other toxic behavior in team competition online games"):
  with members:
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"
    - "friends ftw friendship and competition in halo reach"
    - "friends ftw friendship and competition in halo reach"

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.SI(Social and Information Networks)