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 "towards better understanding researcher strategies in cross lingual event analytics"):
  Abstract: With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics is particularly challenging due to the large amount of content, the event dynamics and the language barrier. Although memory institutions increasingly collect event-centric Web content in different languages, very little is known about the strategies of researchers who conduct analytics of such content. In this paper we present researchers’ strategies for the content, method and feature selection in the context of cross-lingual event-centric analytics observed in two case studies on multilingual Wikipedia. We discuss the influence factors for these strategies, the findings enabled by the adopted methods along with the current limitations and provide recommendations for services supporting researchers in cross-lingual event-centric analytics.

Includes members:
  Member "eventkg a multilingual event centric temporal knowledge graph":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "knowledge graphs")
  Member "archiveweb collaboratively extending and exploring web archive collections how would you like to work with your collections":
    also connected through other hyperedges:
      (none)
  Member "multiwiki interlingual text passage alignment in wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ccmatrix mining billions of high quality parallel sentences on the web")
  Member "extracting event centric document collections from large scale web archives":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "data4urbanmobility towards holistic data analytics for mobility applications in urban regions")
  Member "analysing temporal evolution of interlingual wikipedia article pairs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multiwiki interlingual text passage alignment in wikipedia")
  Member "understanding editing behaviors in multilingual wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wikipedia cultural diversity dataset a complete cartography for 300 language editions")
  Member "icrawl improving the freshness of web collections by integrating social web and focused web crawling":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "data4urbanmobility towards holistic data analytics for mobility applications in urban regions")

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)