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: "the sum of it all revealing collaboration patterns by combining authorship and acknowledgements"
  Abstract: Acknowledgments are one of many conventions by which researchers publicly bestow recognition towards individuals, organizations and institutions that contributed in some way to the work that led to publication. Combining data on both co-authors and acknowledged individuals, the present study analyses disciplinary differences in researchers’ credit attribution practices in collaborative context. Our results show that the important differences traditionally observed between disciplines in terms of team size are greatly reduced when acknowledgees are taken into account. Broadening the measurement of collaboration beyond co-authorship by including individuals credited in the acknowledgements allows for an assessment of collaboration practices and team work that might be closer to the reality of contemporary research, especially in the social sciences and humanities.

Connected through hyperedge HE-1 (induced by source paper "funding information in web of science an updated overview"):
  with members:
    - "solving multiple criteria r d project selection problems with a data driven evidential reasoning rule"
    - "missing author address information in web of science an explorative study"
    - "funding acknowledgment analysis queries and caveats"
    - "characterization description and considerations for the use of funding acknowledgement data in web of science"
    - "the journal coverage of web of science and scopus a comparative analysis"

Connected through hyperedge HE-2 (induced by source paper "research leadership flow determinants and the role of proximity in research collaborations networks"):
  with members:
    - "international scientific collaboration of china collaborating countries institutions and individuals"

Connected through hyperedge HE-3 (induced by source paper "factors influencing cities publishing efficiency"):
  with members:
    - "the relationship among research productivity research collaboration and their determinants"
    - "a spatial scientometric analysis of the publication output of cities worldwide"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "evaluating university research same performance indicator different rankings"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "international scientific collaboration of china collaborating countries institutions and individuals"
    - "mapping excellence in the geography of science an approach based on scopus data"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-4 (induced by source paper "making visible the invisible through the analysis of acknowledgements in the humanities"):
  with members:
    - "characterization description and considerations for the use of funding acknowledgement data in web of science"

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)