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: "publishing without publishers a decentralized approach to dissemination retrieval and archiving of data"
  Abstract: Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publishing centered around printed narrative articles no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. Here we propose to design scientific data publishing as a Web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used for the Semantic Web in general. Evaluation of the current small network shows that this system is efficient and reliable.

Connected through hyperedge HE-1 (induced by source paper "nanopublications a growing resource of provenance centric scientific linked data"):
  with members:
    - "reliable granular references to changing linked data"
    - "nanopub java a java library for nanopublications"
    - "making digital artifacts on the web verifiable and reliable"
    - "provenance centered dataset of drug drug interactions"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "micropublications a semantic model for claims evidence arguments and annotations in biomedical communications"
    - "broadening the scope of nanopublications"

Connected through hyperedge HE-2 (induced by source paper "reliable granular references to changing linked data"):
  with members:
    - "nanopub java a java library for nanopublications"
    - "making digital artifacts on the web verifiable and reliable"
    - "provenance centered dataset of drug drug interactions"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "broadening the scope of nanopublications"
    - "an http based versioning mechanism for linked data"

Connected through hyperedge HE-3 (induced by source paper "science bots a model for the future of scientific computation"):
  with members:
    - "the rise of social bots"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "bots vs wikipedians anons vs logged ins"
    - "broadening the scope of nanopublications"

Connected through hyperedge HE-4 (induced by source paper "nanopub java a java library for nanopublications"):
  with members:
    - "making digital artifacts on the web verifiable and reliable"
    - "broadening the scope of nanopublications"

Connected through hyperedge HE-5 (induced by source paper "making digital artifacts on the web verifiable and reliable"):
  with members:
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "broadening the scope of nanopublications"

Connected through hyperedge HE-6 (induced by source paper "provenance centered dataset of drug drug interactions"):
  with members:
    - "making digital artifacts on the web verifiable and reliable"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"

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)