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 "intermediacy of publications"):
  Abstract: Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given two publications, an older and a more recent one, intermediacy identifies publications that seem to play a major role in the historical development from the older to the more recent publication. The identified publications are important in connecting the older and the more recent publication in the citation network. After providing a formal definition of intermediacy, we study its mathematical properties. We then present two empirical case studies, one tracing historical developments at the interface between the community detection and the scientometric literature and one examining the development of the literature on peer review. We show both mathematically and empirically how intermediacy differs from main path analysis, which is the most popular approach for tracing historical developments in citation networks. Main path analysis tends to favor longer paths over shorter ones, whereas intermediacy has the opposite tendency. Compared to main path analysis, we conclude that intermediacy offers a more principled approach for tracing the historical development of scientific knowledge.

Includes members:
  Member "accuracy of citation data in web of science and scopus":
    also connected through other hyperedges:
      (none)
  Member "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines")
  Member "tracing technological development trajectories a genetic knowledge persistence based main path approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic patterns of knowledge flows across technological domains empirical results and link prediction")
  Member "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how to identify the roots of broad research topics and fields the introduction of rpys sampling using the example of climate change research")
  Member "citnetexplorer a new software tool for analyzing and visualizing citation networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a principled methodology for comparing relatedness measures for clustering publications")
  Member "detecting the historical roots of research fields by reference publication year spectroscopy rpys":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "how to identify the roots of broad research topics and fields the introduction of rpys sampling using the example of climate change research")
  Member "a new methodology for constructing a publication level classification system of science":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines")
  Member "efficient algorithms for citation network analysis":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "foundations of temporal text 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)