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: "the social dynamics of language change in online networks"
  Abstract: Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence. But, while language change has long been a topic of study in sociolinguistics, traditional linguistic research methods rely on circumstantial evidence, estimating the direction of change from differences between older and younger speakers. In this paper, we use a data set of several million Twitter users to track language changes in progress. First, we show that language change can be viewed as a form of social influence: we observe complex contagion for phonetic spellings and "netspeak" abbreviations (e.g., lol), but not for older dialect markers from spoken language. Next, we test whether specific types of social network connections are more influential than others, using a parametric Hawkes process model. We find that tie strength plays an important role: densely embedded social ties are significantly better conduits of linguistic influence. Geographic locality appears to play a more limited role: we find relatively little evidence to support the hypothesis that individuals are more influenced by geographically local social ties, even in their usage of geographical dialect markers.

Connected through hyperedge HE-1 (induced by source paper "library adoption dynamics in software teams"):
  with members:
    - "competition and selection among conventions"

Connected through hyperedge HE-2 (induced by source paper "finding your voice the linguistic development of mental health counselors"):
  with members:
    - "conversations gone awry detecting early signs of conversational failure"
    - "winning on the merits the joint effects of content and style on debate outcomes"
    - "depression and self harm risk assessment in online forums"
    - "large scale analysis of counseling conversations an application of natural language processing to mental health"
    - "conversational markers of constructive discussions"
    - "conversational flow in oxford style debates"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"
    - "computational sociolinguistics a survey"

Connected through hyperedge HE-3 (induced by source paper "detecting social influence in event cascades by comparing discriminative rankers"):
  with members:
    - "deepinf social influence prediction with deep learning"
    - "learning hawkes processes from short doubly censored event sequences"
    - "reconstructing parameters of spreading models from partial observations"
    - "node2vec scalable feature learning for networks"
    - "learning granger causality for hawkes processes"
    - "learning influence functions from incomplete observations"
    - "line large scale information network embedding"
    - "seismic a self exciting point process model for predicting tweet popularity"

Connected through hyperedge HE-4 (induced by source paper "survey of computational approaches to lexical semantic change"):
  with members:
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "modeling the dynamics of domain specific terminology in diachronic corpora"
    - "on the linearity of semantic change investigating meaning variation via dynamic graph models"
    - "detecting and assessing contextual change in diachronic text documents using context volatility"
    - "words are malleable computing semantic shifts in political and media discourse"
    - "inducing domain specific sentiment lexicons from unlabeled corpora"

Connected through hyperedge HE-5 (induced by source paper "survey of computational approaches to diachronic conceptual change"):
  with members:
    - "survey of computational approaches to lexical semantic change"
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "on the linearity of semantic change investigating meaning variation via dynamic graph models"
    - "detecting and assessing contextual change in diachronic text documents using context volatility"
    - "words are malleable computing semantic shifts in political and media discourse"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"

Connected through hyperedge HE-6 (induced by source paper "the road to success assessing the fate of linguistic innovations in online communities"):
  with members:
    - "competition and selection among conventions"
    - "tracing the use of practices through networks of collaboration"
    - "loyalty in online communities"
    - "the status gradient of trends in social media"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "diffusion of lexical change in social media"
    - "niche as a determinant of word fate in online groups"
    - "weak ties subtle role of information diffusion in online social networks"

Connected through hyperedge HE-7 (induced by source paper "competition and selection among conventions"):
  with members:
    - "the status gradient of trends in social media"
    - "bieber blast bieberblast early prediction of popular hashtag compounds"
    - "the effects of age gender and region on non standard linguistic variation in online social networks"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "can cascades be predicted"
    - "multi level modeling of quotation families morphogenesis"
    - "you had me at hello how phrasing affects memorability"
    - "on the interplay between social and topical structure"

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)