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: "effects of publications in proceedings on the measure of the core size of coauthors"
  Abstract: Coauthors (CA) of a “lead investigator” (LI) can receive a rank (r) according to their “importance” in having published joint publications with the LI. It is commonly accepted, without any proof, that publications in peer review journals and for example conference proceedings do not have the same “value” in a CV, and the same applies to papers contributing to encyclopedia and book chapters. It is examined here whether the relationship between the number (J) of publications of some scientist with her/his coauthors, ranked according to their decreasing importance, i.e. J∝1/rα, as found by Ausloos (2013) [1], still holds if the overall publication list is broken into such specific types of publications. Several authors, with different careers, but mainly having worked in the field of statistical mechanics, are studied here to sort out answers to the questions. The exponent α turns out to be weakly scientist dependent, only if the maximum value of J and r is large and is ∼+1 then. The mA core value, i.e. the core number of CAs, for proceedings only is about half of the total one, i.e. when all publications are counted. Contributions to the numerical values from both encyclopedia and book chapters are marginal. The role of a time span on mA is also examined in two cases in relation to career activity considerations. It can be considered that the findings serve as a contrasting point of view on how to quantify an individual (publication) career as recently done by Petersen et al. (2010, 2012, 2011) [2–4], here emphasizing the collaboration size and evolution, rather than a citation count, moreover specifying the type of publication. Through the various mA’s one can distinguish different behavior patterns of a scientific publication with CAs.

Connected through hyperedge HE-1 (induced by source paper "quantitative and qualitative analysis of editor behavior through maybe coercive citations"):
  with members:
    - "assessing the true role of coauthors in the h index measure of an author scientific impact"
    - "quantifying the influence of scientists and their publications distinguishing between prestige and popularity"

Connected through hyperedge HE-2 (induced by source paper "citations to articles citing benford s law a benford analysis"):
  with members:
    - "empirical patterns in google scholar citation counts"

Connected through hyperedge HE-3 (induced by source paper "assessing the true role of coauthors in the h index measure of an author scientific impact"):
  with members:
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "on the robustness of the h index"

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)