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 "study of citation networks in tribology research"):
  Abstract: This study aims to study citation networks among publications on tribology using a new software tool called “CitNetExplorer”. Bibliographic records related to tribology research were retrieved from Web of Science. Three data sets have been analyzed: (1) Core publications of tribology research, (2) publications on nanotribology (a sub-discipline of tribology) and (3) publications of Bharat Bhushan (a top-contributor to nanotribology research). The study provides insights into citation relations among tribology publications. It demonstrates the potential of the CitNetExplorer and suggests possible improvements. It also shows how the CitNetExplorer can be used to analyze networks of publications in a specific research field.

Includes members:
  Member "a macro level scientometric analysis of world tribology research output 1998 2012":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "whole counting vs whole normalized counting a country level comparative study of internationally collaborated papers on tribology")
  Member "citnetexplorer a new software tool for analyzing and visualizing citation networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a principled methodology for comparing relatedness measures for clustering publications")
  Member "eugene garfield and algorithmic historiography co words co authors and journal names":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "identifying single influential publications in a research field new analysis opportunities of the crexplorer")

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)