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: "a multi relational network to support the scholarly communication process"
  Abstract: The general pupose of the scholarly communication process is to support the creation and dissemination of ideas within the scientific community. At a finer granularity, there exists multiple stages which, when confronted by a member of the community, have different requirements and therefore different solutions. In order to take a researcher's idea from an initial inspiration to a community resource, the scholarly communication infrastructure may be required to 1) provide a scientist initial seed ideas; 2) form a team of well suited collaborators; 3) located the most appropriate venue to publish the formalized idea; 4) determine the most appropriate peers to review the manuscript; and 5) disseminate the end product to the most interested members of the community. Through the various delinieations of this process, the requirements of each stage are tied soley to the multi-functional resources of the community: its researchers, its journals, and its manuscritps. It is within the collection of these resources and their inherent relationships that the solutions to scholarly communication are to be found. This paper describes an associative network composed of multiple scholarly artifacts that can be used as a medium for supporting the scholarly communication process.

Connected through hyperedge HE-1 (induced by source paper "a method for group extraction and analysis in multilayer social networks"):
  with members:
    - "group evolution discovery in social networks"
    - "estimating continuous distributions in bayesian classifiers"
    - "tracking group evolution in social networks"
    - "analysis of neighbourhoods in multi layered dynamic social networks"
    - "low distortion inference of latent similarities from a multiplex social network"
    - "a degree centrality in multi layered social network"
    - "shortest path discovery in the multi layered social network"
    - "exposing multi relational networks to single relational network analysis algorithms"

Connected through hyperedge HE-2 (induced by source paper "analysis of neighbourhoods in multi layered dynamic social networks"):
  with members:
    - "a degree centrality in multi layered social network"
    - "shortest path discovery in the multi layered social network"
    - "multidimensional social network in the social recommender system"
    - "exposing multi relational networks to single relational network analysis algorithms"
    - "social networks that matter twitter under the microscope"

Connected through hyperedge HE-3 (induced by source paper "the rdf virtual machine"):
  with members:
    - "general purpose computing on a semantic network substrate"
    - "grammar based geodesics in semantic networks"
    - "a reflection on the structure and process of the web of data"
    - "a distributed process infrastructure for a distributed data structure"
    - "grammar based random walkers in semantic networks"

Connected through hyperedge HE-4 (induced by source paper "exposing multi relational networks to single relational network analysis algorithms"):
  with members:
    - "interpretations of the web of data"
    - "grammar based random walkers in semantic networks"
    - "social decision making with multi relational networks and grammar based particle swarms"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-5 (induced by source paper "a recommender system to support the scholarly communication process"):
  with members:
    - "exposing multi relational networks to single relational network analysis algorithms"
    - "automatic metadata generation using associative networks"
    - "grammar based random walkers in semantic networks"
    - "an algorithm to determine peer reviewers"
    - "towards usage based impact metrics first results from the mesur project"
    - "a practical ontology for the large scale modeling of scholarly artifacts and their usage"

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)