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: "diffusion of lexical change in social media"
  Abstract: Computer-mediated communication is driving fundamental changes in the nature of written language. We investigate these changes by statistical analysis of a dataset comprising 107 million Twitter messages (authored by 2.7 million unique user accounts). Using a latent vector autoregressive model to aggregate across thousands of words, we identify high-level patterns in diffusion of linguistic change over the United States. Our model is robust to unpredictable changes in Twitter's sampling rate, and provides a probabilistic characterization of the relationship of macro-scale linguistic influence to a set of demographic and geographic predictors. The results of this analysis offer support for prior arguments that focus on geographical proximity and population size. However, demographic similarity – especially with regard to race – plays an even more central role, as cities with similar racial demographics are far more likely to share linguistic influence. Rather than moving towards a single unified “netspeak” dialect, language evolution in computer-mediated communication reproduces existing fault lines in spoken American English.

Connected through hyperedge HE-1 (induced by source paper "where new words are born distributional semantic analysis of neologisms and their semantic neighborhoods"):
  with members:
    - "survey of computational approaches to diachronic conceptual change"
    - "making fetch happen the influence of social and linguistic context on nonstandard word growth and decline"
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "word embeddings quantify 100 years of gender and ethnic stereotypes"
    - "diachronic word embeddings and semantic shifts a survey"
    - "problems with evaluation of word embeddings using word similarity tasks"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"

Connected through hyperedge HE-2 (induced by source paper "eventmapper detecting real world physical events using corroborative and probabilistic sources"):
  with members:
    - "concept drift detection and adaptation with weak supervision on streaming unlabeled data"
    - "assed a framework for identifying physical events through adaptive social sensor data filtering"
    - "concept drift adaptive physical event detection for social media streams"
    - "word2vec parameter learning explained"
    - "convolutional neural networks for sentence classification"

Connected through hyperedge HE-3 (induced by source paper "follow the leader documents on the leading edge of semantic change get more citations"):
  with members:
    - "survey of computational approaches to diachronic conceptual change"
    - "word embeddings quantify 100 years of gender and ethnic stereotypes"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "bounded rationality in scholarly knowledge discovery"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"

Connected through hyperedge HE-4 (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"
    - "the social dynamics of language change in online networks"
    - "conversational markers of constructive discussions"
    - "conversational flow in oxford style debates"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"

Connected through hyperedge HE-5 (induced by source paper "location occupation and semantics based socioeconomic status inference on twitter"):
  with members:
    - "socioeconomic dependencies of linguistic patterns in twitter a multivariate analysis"
    - "correlations and dynamics of consumption patterns in social economic networks"
    - "predicting twitter user socioeconomic attributes with network and language information"
    - "what the language you tweet says about your occupation"
    - "xgboost a scalable tree boosting system"
    - "detecting the age of twitter users"
    - "geotagging one hundred million twitter accounts with total variation minimization"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-6 (induced by source paper "semantic change and semantic stability variation is key"):
  with members:
    - "survey of computational approaches to diachronic conceptual change"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"
    - "from frequency to meaning vector space models of semantics"

Connected through hyperedge HE-7 (induced by source paper "dialectgram detecting dialectal variation at multiple geographic resolutions"):
  with members:
    - "using sentiment induction to understand variation in gendered online communities"
    - "dialectometric analysis of language variation in twitter"
    - "breaking sticks and ambiguities with adaptive skip gram"
    - "freshman or fresher quantifying the geographic variation of internet language"
    - "efficient non parametric estimation of multiple embeddings per word in vector space"
    - "statistically significant detection of linguistic change"
    - "temporal analysis of language through neural language models"

Connected through hyperedge HE-8 (induced by source paper "event detection in noisy streaming data with combination of corroborative and probabilistic sources"):
  with members:
    - "assed a framework for identifying physical events through adaptive social sensor data filtering"
    - "neural ranking models with weak supervision"
    - "bag of tricks for efficient text classification"
    - "sequential short text classification with recurrent and convolutional neural networks"
    - "character level convolutional networks for text classification"

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)