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: "is language evolution grinding to a halt exploring the life and death of words in english fiction"
  Abstract: The Google Books corpus, derived from millions of books in a range of major languages, would seem to offer many possibilities for research into cultural, social, and linguistic evolution. In a previous work, we found that the 2009 and 2012 versions of the unfiltered English data set as well as the 2009 version of the English Fiction data set are all heavily saturated with scientific and medical literature, rendering them unsuitable for rigorous analysis. By contrast, the 2012 version of English Fiction appeared to be uncompromised, and we use this data set to explore language dynamics for English from 1820--2000. We critique a previous method for measuring birth and death rates of words, and provide a robust, principled to examining the volume of word flux across various relative frequency usage thresholds. We use the contributions to the Jensen-Shannon divergence of words crossing thresholds between consecutive decades to illuminate the major driving factors behind the flux. We find that while individual word usage may vary greatly, the overall statistical structure of the language appears to remain fairly stable. We also find indications that scholarly works about fiction are strongly represented in the 2012 English Fiction corpus, and suggest that a future revision of the corpus should attempt to separate critical works from fiction itself.

Connected through hyperedge HE-1 (induced by source paper "divergent discourse between protests and counter protests blacklivesmatter and alllivesmatter"):
  with members:
    - "predicting links in ego networks using temporal information"
    - "characterizing the demographics behind the blacklivesmatter movement"
    - "content and network dynamics behind egyptian political polarization on twitter"
    - "the digital evolution of occupy wall street"
    - "the geospatial characteristics of a social movement communication network"
    - "partisan asymmetries in online political activity"

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)