human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "extracting event centric document collections from large scale web archives"
  Abstract: Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These collections constitute an increasingly important source for researchers in the social sciences, the historical sciences and journalists interested in studying past events. However, there are currently no access methods that help users to efficiently access information, in particular about specific events, beyond the retrieval of individual disconnected documents. Therefore we propose a novel method to extract event-centric document collections from large scale Web archives. This method relies on a specialized focused extraction algorithm. Our experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables the extraction of event-centric collections for different event types.

Connected through hyperedge HE-1 (induced by source paper "data4urbanmobility towards holistic data analytics for mobility applications in urban regions"):
  with members:
    - "eventkg the hub of event knowledge on the web and biographical timeline generation"
    - "inferring missing categorical information in noisy and sparse web markup"
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "depicting urban boundaries from a mobility network of spatial interactions a case study of great britain with geo located twitter data"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-2 (induced by source paper "using micro collections in social media to generate seeds for web archive collections"):
  with members:
    - "focused crawl of web archives to build event collections"
    - "scraping serps for archival seeds it matters when you start"
    - "analyzing web archives through topic and event focused sub collections"
    - "carbon dating the web estimating the age of web resources"
    - "losing my revolution how many resources shared on social media have been lost"

Connected through hyperedge HE-3 (induced by source paper "providing advanced access to historical war memoirs through the identification of events participants and roles"):
  with members:
    - "italy goes to stanford a collection of corenlp modules for italian"
    - "enriching word vectors with subword information"
    - "exploring the political agenda of the european parliament using a dynamic topic modeling approach"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-4 (induced by source paper "building and querying semantic layers for web archives extended version"):
  with members:
    - "towards a ranking model for semantic layers over digital archives"
    - "tempas temporal archive search based on tags"
    - "can we find documents in web archives without knowing their contents"
    - "how to search the internet archive without indexing it"
    - "expedition a time aware exploratory search system designed for scholars"
    - "history by diversity helping historians search news archives"
    - "archivespark efficient web archive access extraction and derivation"
    - "routing memento requests using binary classifiers"

Connected through hyperedge HE-5 (induced by source paper "towards better understanding researcher strategies in cross lingual event analytics"):
  with members:
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "archiveweb collaboratively extending and exploring web archive collections how would you like to work with your collections"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "analysing temporal evolution of interlingual wikipedia article pairs"
    - "understanding editing behaviors in multilingual wikipedia"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-6 (induced by source paper "focused crawl of web archives to build event collections"):
  with members:
    - "scraping serps for archival seeds it matters when you start"
    - "routing memento requests using binary classifiers"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "carbon dating the web estimating the age of web resources"
    - "evaluating sliding and sticky target policies by measuring temporal drift in acyclic walks through a web archive"

Question: Please tell me which class the center node 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)