human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "mapping the americanization of english in space and time"):
  Abstract: As global political preeminence gradually shifted from the United Kingdom to the United States, so did the capacity to culturally influence the rest of the world. In this work, we analyze how the world-wide varieties of written English are evolving. We study both the spatial and temporal variations of vocabulary and spelling of English using a large corpus of geolocated tweets and the Google Books datasets corresponding to books published in the US and the UK. The advantage of our approach is that we can address both standard written language (Google Books) and the more colloquial forms of microblogging messages (Twitter). We find that American English is the dominant form of English outside the UK and that its influence is felt even within the UK borders. Finally, we analyze how this trend has evolved over time and the impact that some cultural events have had in shaping it.

Includes members:
  Member "dialectometric analysis of language variation in twitter":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "simulating lexical semantic change from sense annotated data")
  Member "demographic dialectal variation in social media a case study of african american english":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "theory in theory out how social theory can solve problems that machine learning can t")
  Member "confounds and consequences in geotagged twitter data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a total error framework for digital traces of humans")
  Member "is language evolution grinding to a halt the scaling of lexical turbulence in english fiction suggests it is not":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "english verb regularization in books and tweets")
  Member "computational sociolinguistics a survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "personalized dialogue generation with diversified traits")
  Member "diffusion of lexical change in social media":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "where new words are born distributional semantic analysis of neologisms and their semantic neighborhoods")

Question: Please tell me which class the source paper 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)