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 "qualifying threshold of take off stage for successfully disseminated creative ideas"):
  Abstract: The creative process is essentially Darwinian and only a small proportion of creative ideas are selected for further development. However, the threshold that identifies this small fraction of successfully disseminated creative ideas at their early stage has not been thoroughly analyzed through the lens of Rogers’s innovation diffusion theory. Here, we take highly cited (top 1%) research papers as an example of the most successfully disseminated creative ideas and explore the time it takes and citations it receives at their “take-off” stage, which play a crucial role in the dissemination of creativity. Results show the majority of highly cited papers will reach 10% and 25% of their total citations within 2 years and 4 years, respectively. Interestingly, our results also present a minimal number of articles that attract their first citation before publication. As for the discipline, number of references, and Price index, we find a significant difference exists: Clinical, Pre-Clinical & Health and Life Sciences are the first two disciplines to reach the C10% and C25% in a shorter amount of time. Highly cited papers with limited references usually take more time to reach 10% and 25% of their total citations. In addition, highly cited papers will attract citations rapidly when they cite more recent references. These results provide insights into the timespan and citations for a research paper to become highly cited at the “take-off” stage in its diffusion process, as well as the factors that may influence it.

Includes members:
  Member "a probe into causes of non citation based on survey data":
    also connected through other hyperedges:
      (none)
  Member "quantifying long term scientific impact":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "how well does i3 perform for impact measurement compared to other bibliometric indicators the convergent validity of several field normalized indicators")

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)