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: "dialectometric analysis of language variation in twitter"
  Abstract: In the last few years, microblogging platforms such as Twitter have given rise to a deluge of textual data that can be used for the analysis of informal communication between millions of individuals. In this work, we propose an information-theoretic approach to geographic language variation using a corpus based on Twitter. We test our models with tens of concepts and their associated keywords detected in Spanish tweets geolocated in Spain. We employ dialectometric measures (cosine similarity and Jensen-Shannon divergence) to quantify the linguistic distance on the lexical level between cells created in a uniform grid over the map. This can be done for a single concept or in the general case taking into account an average of the considered variants. The latter permits an analysis of the dialects that naturally emerge from the data. Interestingly, our results reveal the existence of two dialect macrovarieties. The first group includes a region-specific speech spoken in small towns and rural areas whereas the second cluster encompasses cities that tend to use a more uniform variety. Since the results obtained with the two different metrics qualitatively agree, our work suggests that social media corpora can be efficiently used for dialectometric analyses.

Connected through hyperedge HE-1 (induced by source paper "simulating lexical semantic change from sense annotated data"):
  with members:
    - "gasc genre aware semantic change for ancient greek"
    - "a wind of change detecting and evaluating lexical semantic change across times and domains"
    - "challenges in detecting evolutionary forces in language change using diachronic corpora"
    - "german in flux detecting metaphoric change via word entropy"
    - "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-2 (induced by source paper "a wind of change detecting and evaluating lexical semantic change across times and domains"):
  with members:
    - "survey of computational approaches to diachronic conceptual change"
    - "distribution based prediction of the degree of grammaticalization for german prepositions"
    - "a robust self learning method for fully unsupervised cross lingual mappings of word embeddings"
    - "on the linearity of semantic change investigating meaning variation via dynamic graph models"
    - "competition and selection among conventions"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"
    - "tracing metaphors in time through self distance in vector spaces"
    - "diachronic word embeddings reveal statistical laws of semantic change"

Connected through hyperedge HE-3 (induced by source paper "dialectgram detecting dialectal variation at multiple geographic resolutions"):
  with members:
    - "using sentiment induction to understand variation in gendered online communities"
    - "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"
    - "diffusion of lexical change in social media"

Connected through hyperedge HE-4 (induced by source paper "modeling global syntactic variation in english using dialect classification"):
  with members:
    - "frequency vs association for constraint selection in usage based construction grammar"
    - "modeling the complexity and descriptive adequacy of construction grammars"
    - "a character level convolutional neural network for distinguishing similar languages and dialects"
    - "diffusion of lexical change in social media"

Connected through hyperedge HE-5 (induced by source paper "mapping the americanization of english in space and time"):
  with members:
    - "demographic dialectal variation in social media a case study of african american english"
    - "confounds and consequences in geotagged twitter data"
    - "is language evolution grinding to a halt the scaling of lexical turbulence in english fiction suggests it is not"
    - "computational sociolinguistics a survey"
    - "diffusion of lexical change in social media"

Connected through hyperedge HE-6 (induced by source paper "the human geography of twitter"):
  with members:
    - "depicting urban boundaries from a mobility network of spatial interactions a case study of great britain with geo located twitter data"
    - "scaling laws in geo located twitter data"
    - "demographic dialectal variation in social media a case study of african american english"
    - "delineating geographical regions with networks of human interactions in an extensive set of countries"

Connected through hyperedge HE-7 (induced by source paper "the fall of the empire the americanization of english"):
  with members:
    - "confounds and consequences in geotagged twitter data"

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)