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 "how science maps reveal knowledge transfer new measurement for a historical case"):
  Abstract: Modelling actors of science via science (overlay) maps has recently become a popular practice in Interdisciplinarity Research (IDR). The benefits of this toolkit have also been recognized for other areas of scientometrics, such as the study of science dynamics. In this paper we propose novel methods of measuring knowledge diffusion/integration based on previous applications of the overlay methodology. New indices called Mean Overlay Distance and Overlay Diversity Ratio, respectively, are being drawn from previous uses of the Stirling index as the main proxy for knowledge diversification. We demonstrate the added value of this proposal via a case study addressing the development of a rather complex discourse in biology, usually referred to as the Species Problem. The selected topic is known for a history connecting various research fields and traditions, being, therefore, both an ideal and challenging case for the study of knowledge diffusion.

Includes members:
  Member "indicators of the interdisciplinarity of journals diversity centrality and citations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "comparing the impact of subfields in scientific journals")
  Member "science overlay maps a new tool for research policy and library management":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")

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)