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: "international scientific migration and collaboration patterns following a bibliometrics line of investigation"
  Abstract: This study introduces a bibliometric approach to st udy international scientific migration, based on an analysis of the affiliation countries of auth ors publishing in peer reviewed scientificscholarly journals indexed in Scopus. A model is pr esented relating base notions in migration and collaboration studies to bibliometric construct s, and its potentialities and limitations are discussed. Synchronous and asynchronous analyses are presented for 10 rapidly growing countries and 7 scientifically established countrie s, comparing international migration with coauthorship relationships. Rough error rates of the proposed indicators are estimated. It is concluded that the bibliometric approach is useful provided that its outcomes are interpreted with care. Error rates for units of assessment with larg e indicator values are estimated to be fairly below 10 per cent. International migration and coll aboration, though related, are different aspects of globalization. Common language plays a larger, a nd political tensions a less prominent role in the former compared to the latter.

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.DL(Digital Libraries)