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: "complexity measurement of natural and artificial languages"
  Abstract: We compared entropy for texts written in natural languages English, Spanish and artificial languages computer software based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length expressed in natural languages. Spanish texts exhibit more symbolic diversity than English ones. Results showed that algorithms based on complexity measures differentiate artificial from natural languages, and that text analysis based on complexity measures allows the unveiling of important aspects of their nature. We propose specific expressions to examine entropy related aspects of tests and estimate the values of entropy, emergence, self-organization, and complexity based on specific diversity and message length. © 2014 Wiley Periodicals, Inc. Complexity 20: 25-48, 2015

Connected through hyperedge HE-1 (induced by source paper "basis to develop a platform for multiple scale complex systems modeling and visualization monet"):
  with members:
    - "visual analytics for explainable deep learning"
    - "quantifying structure differences in literature using symbolic diversity and entropy criteria"
    - "calculating entropy at different scales among diverse communication systems"
    - "music viewed by its entropy content a novel window for comparative analysis"

Connected through hyperedge HE-2 (induced by source paper "relating complexities for the reflexive study of complex systems"):
  with members:
    - "self referential basis of undecidable dynamics from the liar paradox and the halting problem to the edge of chaos"
    - "a spatialised bibliometrics approach of a scientific journal production"
    - "an applied knowledge framework to study complex systems"
    - "exploration of an interdisciplinary scientific landscape"
    - "when the map is better than the territory"
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "a hybrid network grid model of urban morphogenesis and optimization"
    - "the world as evolving information"

Connected through hyperedge HE-3 (induced by source paper "can chunking reduce syntactic complexity of natural languages"):
  with members:
    - "non crossing dependencies least effort not grammar"
    - "crossings as a side effect of dependency lengths"
    - "a stronger null hypothesis for crossing dependencies"
    - "menzerath altmann law for syntactic structures in ukrainian"

Connected through hyperedge HE-4 (induced by source paper "calculating entropy at different scales among diverse communication systems"):
  with members:
    - "quantifying structure differences in literature using symbolic diversity and entropy criteria"
    - "a fundamental scale of descriptions for analyzing information content of communication systems"
    - "complexity and information measuring emergence self organization and homeostasis at multiple scales"

Connected through hyperedge HE-5 (induced by source paper "a fundamental scale of descriptions for analyzing information content of communication systems"):
  with members:
    - "quantifying structure differences in literature using symbolic diversity and entropy criteria"

Connected through hyperedge HE-6 (induced by source paper "rank diversity of languages generic behavior in computational linguistics"):
  with members:
    - "measuring the evolution of contemporary western popular music"

Connected through hyperedge HE-7 (induced by source paper "music viewed by its entropy content a novel window for comparative analysis"):
  with members:
    - "a fundamental scale of descriptions for analyzing information content of communication systems"

Connected through hyperedge HE-8 (induced by source paper "the fundamental scale of descriptions"):
  with members:
    - "quantifying structure differences in literature using symbolic diversity and entropy criteria"

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)