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: "can hot spots in the sciences be mapped using the dynamics of aggregated journal journal citation relations"
  Abstract: Using three years of the Journal Citation Reports (2011, 2012, and 2013), indicators of transitions in 2012 (between 2011 and 2013) are studied using methodologies based on entropy statistics. Changes can be indicated at the level of journals using the margin totals of entropy production along the row or column vectors, but also at the level of links among journals by importing the transition matrices into network analysis and visualization programs (and using community-finding algorithms). Seventy-four journals are flagged in terms of discontinuous changes in their citations; but 3,114 journals are involved in "hot" links. Most of these links are embedded in a main component; 78 clusters (containing 172 journals) are flagged as potential "hot spots" emerging at the network level. An additional finding is that PLoS ONE introduced a new communication dynamics into the database. The limitations of the methodology are elaborated using an example. The results of the study indicate where developments in the citation dynamics can be considered as significantly unexpected. This can be used as heuristic information; but what a "hot spot" in terms of the entropy statistics of aggregated citation relations means substantively can be expected to vary from case to case.

Connected through hyperedge HE-1 (induced by source paper "generating clustered journal maps an automated system for hierarchical classification"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "construction of a pragmatic base line for journal classifications and maps based on aggregated journal journal citation relations"
    - "citations indicators of quality the impact fallacy"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "on the causes of subject specific citation rates in web of science"
    - "a new methodology for constructing a publication level classification system of science"
    - "a unified approach to mapping and clustering of bibliometric networks"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-2 (induced by source paper "cited references and medical subject headings mesh as two different knowledge representations clustering and mappings at the paper level"):
  with members:
    - "strategic intelligence on emerging technologies scientometric overlay mapping"
    - "grand challenges in measuring and characterizing scholarly impact"
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization"
    - "citation analysis with medical subject headings mesh using the web of knowledge a new routine"
    - "a new methodology for constructing a publication level classification system of science"
    - "some modifications to the snip journal impact indicator"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-3 (induced by source paper "the dynamics of triads in aggregated journal journal citation relations specialty developments at the above journal level"):
  with members:
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"

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)