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: "niche as a determinant of word fate in online groups"
  Abstract: Patterns of word use both reflect and influence a myriad of human activities and interactions. Like other entities that are reproduced and evolve, words rise or decline depending upon a complex interplay between their intrinsic properties and the environments in which they function. Using Internet discussion communities as model systems, we define the concept of a word niche as the relationship between the word and the characteristic features of the environments in which it is used. We develop a method to quantify two important aspects of the size of the word niche: the range of individuals using the word and the range of topics it is used to discuss. Controlling for word frequency, we show that these aspects of the word niche are strong determinants of changes in word frequency. Previous studies have already indicated that word frequency itself is a correlate of word success at historical time scales. Our analysis of changes in word frequencies over time reveals that the relative sizes of word niches are far more important than word frequencies in the dynamics of the entire vocabulary at shorter time scales, as the language adapts to new concepts and social groupings. We also distinguish endogenous versus exogenous factors as additional contributors to the fates of words, and demonstrate the force of this distinction in the rise of novel words. Our results indicate that short-term nonstationarity in word statistics is strongly driven by individual proclivities, including inclinations to provide novel information and to project a distinctive social identity.

Connected through hyperedge HE-1 (induced by source paper "quantifying the dynamics of topical fluctuations in language"):
  with members:
    - "german in flux detecting metaphoric change via word entropy"
    - "population size predicts lexical diversity but so does the mean sea level why it is important to correctly account for the structure of temporal data"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"
    - "testing apsyn against vector cosine on similarity estimation"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"
    - "a model of grassroots changes in linguistic systems"
    - "temporal analysis of language through neural language models"

Connected through hyperedge HE-2 (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"
    - "the social dynamics of language change in online networks"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "diffusion of lexical change in social media"
    - "weak ties subtle role of information diffusion in online social networks"

Connected through hyperedge HE-3 (induced by source paper "semantic variation in online communities of practice"):
  with members:
    - "characterizing the language of online communities and its relation to community reception"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "adam a method for stochastic optimization"
    - "recurrent neural network regularization"
    - "diffusion of lexical change in social media"
    - "efficient estimation of word representations in vector space"
    - "echoes of power language effects and power differences in social interaction"

Connected through hyperedge HE-4 (induced by source paper "making fetch happen the influence of social and linguistic context on nonstandard word growth and decline"):
  with members:
    - "simple models for word formation in english slang"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "science askscience and badscience on the coexistence of highly related communities"
    - "demographic dialectal variation in social media a case study of african american english"
    - "all who wander on the prevalence and characteristics of multi community engagement"

Connected through hyperedge HE-5 (induced by source paper "neutral evolution and turnover over centuries of english word popularity"):
  with members:
    - "zipf s law holds for phrases not words"

Connected through hyperedge HE-6 (induced by source paper "a practical approach to language complexity a wikipedia case study"):
  with members:
    - "for the sake of simplicity unsupervised extraction of lexical simplifications from wikipedia"
    - "beyond word frequency bursts lulls and scaling in the temporal distributions of words"
    - "wikipedia based semantic interpretation for natural language processing"
    - "mining meaning from wikipedia"
    - "word statistics in blogs and rss feeds towards empirical universal evidence"

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)