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 harbingers of betrayal a case study on an online strategy game"
  Abstract: Interpersonal relations are fickle, with close friendships often dissolving into enmity. In this work, we explore linguistic cues that presage such transitions by studying dyadic interactions in an online strategy game where players form alliances and break those alliances through betrayal. We characterize friendships that are unlikely to last and examine temporal patterns that foretell betrayal. #R##N#We reveal that subtle signs of imminent betrayal are encoded in the conversational patterns of the dyad, even if the victim is not aware of the relationship's fate. In particular, we find that lasting friendships exhibit a form of balance that manifests itself through language. In contrast, sudden changes in the balance of certain conversational attributes---such as positive sentiment, politeness, or focus on future planning---signal impending betrayal.

Connected through hyperedge HE-1 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop"):
  with members:
    - "something s brewing early prediction of controversy causing posts from discussion features"
    - "forecasting the presence and intensity of hostility on instagram using linguistic and social features"
    - "the effect of extremist violence on hateful speech online"
    - "deep contextualized word representations"
    - "community interaction and conflict on the web"
    - "neural approaches to conversational ai"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "wikiconv a corpus of the complete conversational history of a large online collaborative community"

Connected through hyperedge HE-2 (induced by source paper "predicting in game actions from the language of nba players"):
  with members:
    - "the advantage of doubling a deep reinforcement learning approach to studying the double team in the nba"
    - "deep contextualized word representations"
    - "framing and agenda setting in russian news a computational analysis of intricate political strategies"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "attention is all you need"
    - "a unified approach to interpreting model predictions"
    - "a thorough examination of the cnn daily mail reading comprehension task"
    - "fine grained analysis of sentence embeddings using auxiliary prediction tasks"

Connected through hyperedge HE-3 (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-4 (induced by source paper "preserving intermediate objectives one simple trick to improve learning for hierarchical models"):
  with members:
    - "distributed representations of words and phrases and their compositionality"
    - "a computational approach to politeness with application to social factors"

Connected through hyperedge HE-5 (induced by source paper "i have a feeling trump will win forecasting winners and losers from user predictions on twitter"):
  with members:
    - "nrc canada building the state of the art in sentiment analysis of tweets"
    - "predicting the nfl using twitter"

Connected through hyperedge HE-6 (induced by source paper "empath understanding topic signals in large scale text"):
  with members:
    - "augur mining human behaviors from fiction to power interactive systems"
    - "generating music from literature"
    - "distributed representations of words and phrases and their compositionality"
    - "a computational approach to politeness with application to social factors"
    - "crowdsourcing a word emotion association lexicon"
    - "finding deceptive opinion spam by any stretch of the imagination"
    - "modeling public mood and emotion twitter sentiment and socio economic phenomena"
    - "thumbs up or thumbs down semantic orientation applied to unsupervised classification of reviews"

Connected through hyperedge HE-7 (induced by source paper "conversational flow in oxford style debates"):
  with members:
    - "a piece of my mind a sentiment analysis approach for online dispute detection"
    - "conversational markers of constructive discussions"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"
    - "mimicry is presidential linguistic style matching in presidential debates and improved polling numbers"
    - "get out the vote determining support or opposition from congressional floor debate transcripts"

Connected through hyperedge HE-8 (induced by source paper "conversational markers of constructive discussions"):
  with members:
    - "echoes of power language effects and power differences in social interaction"
    - "mark my words linguistic style accommodation in social media"

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.CL(Computation and Language)