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: "the university industry knowledge relationship analyzing patents and the science base of technologies"
  Abstract: Via the Internet, information scientists can obtain cost-free access to large databases in the hidden or deep web. These databases are often structured far more than the Internet domains themselves. The patent database of the U.S. Patent and Trade Office is used in this study to examine the science base of patents in terms of the literature references in these patents. University-based patents at the global level are compared with results when using the national economy of the Netherlands as a system of reference. Methods for accessing the on-line databases and for the visualization of the results are specified. The conclusion is that 'biotechnology' has historically generated a model for theorizing about university-industry relations that cannot easily be generalized to other sectors and disciplines.

Connected through hyperedge HE-1 (induced by source paper "challenges for regional innovation policies in cee countries spatial concentration and foreign control of us patenting"):
  with members:
    - "interactive overlay maps for us patent uspto data based on international patent classifications ipc"
    - "mapping uspto patent data using overlays to google maps"

Connected through hyperedge HE-2 (induced by source paper "interactive overlay maps for us patent uspto data based on international patent classifications ipc"):
  with members:
    - "how to create an innovation accelerator"
    - "interactive overlays a new method for generating global journal maps from web of science data"
    - "publish or patent bibliometric evidence for empirical trade offs in national funding strategies"
    - "which cities produce excellent papers worldwide more than can be expected a new mapping approach using google maps based on statistical significance testing"
    - "the structure of the arts humanities citation index a mapping on the basis of aggregated citations among 1 157 journals"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"
    - "a unified approach to mapping and clustering of bibliometric networks"
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"

Connected through hyperedge HE-3 (induced by source paper "mapping uspto patent data using overlays to google maps"):
  with members:
    - "the knowledge based economy and the triple helix model"
    - "mapping excellence in the geography of science an approach based on scopus data"
    - "publish or patent bibliometric evidence for empirical trade offs in national funding strategies"
    - "which cities produce excellent papers worldwide more than can be expected a new mapping approach using google maps based on statistical significance testing"
    - "mapping the geography of science distribution patterns and networks of relations among cities and institutes"
    - "science overlay maps a new tool for research policy and library management"

Connected through hyperedge HE-4 (induced by source paper "measuring the meaning of words in contexts an automated analysis of controversies about monarch butterflies frankenfoods and stem cells"):
  with members:
    - "co occurrence matrices and their applications in information science extending aca to the web environment"
    - "the construction and globalization of the knowledge base in inter human communication systems"
    - "the mutual information of university industry government relations an indicator of the triple helix dynamics"
    - "visualization of the citation impact environments of scientific journals an online mapping exercise"

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)