human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "statistics for the dynamic analysis of scientometric data the evolution of the sciences in terms of trajectories and regimes"):
  Abstract: The gap in statistics between multi-variate and time-series analysis can be bridged by using entropy statistics and recent developments in multi-dimensional scaling. For explaining the evolution of the sciences as non-linear dynamics, the configurations among variables can be important in addition to the statistics of individual variables and trend lines. Animations enable us to combine multiple perspectives (based on configurations of variables) and to visualize path-dependencies in terms of trajectories and regimes. Path-dependent transitions and systems formation can be tested using entropy statistics.

Includes members:
  Member "innovation as a nonlinear process the scientometric perspective and the specification of an innovation opportunities explorer":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells")
  Member "how to create an innovation accelerator":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an analytical framework to nowcast well being using mobile phone data")
  Member "interactive overlays a new method for generating global journal maps from web of science data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "early detection of research trends")
  Member "structuration by intellectual organization the configuration of knowledge in relations among structural components in networks of science":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "information meaning and intellectual organization in networks of inter human communication")
  Member "the communication of meaning and the structuration of expectations giddens structuration theory and luhmann s self organization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured")
  Member "the mutual information of university industry government relations an indicator of the triple helix dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "regions innovation systems and the north south divide in italy")

Question: Please tell me which class the source paper 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)