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: "h α an index to quantify an individual s scientific leadership"
  Abstract: Abstract The $$\alpha$$ α person is the dominant person in a group. We define the $$\alpha$$ α -author of a paper as the author of the paper with the highest h-index among all the coauthors, and an $$\alpha$$ α -paper of a scientist as a paper authored or coauthored by the scientist where he/she is the $$\alpha$$ α -author. For most but not all papers in the literature there is only one $$\alpha$$ α -author. We define the $$h_\alpha$$ h α index of a scientist as the number of papers in the h-core of the scientist (i.e. the set of papers that contribute to the h-index of the scientist) where this scientist is the $$\alpha$$ α -author. We also define the $$h'_\alpha$$ h α ′ index of a scientist as the number of $$\alpha$$ α -papers of this scientist that have $$\ge$$ ≥ $$h'_\alpha$$ h α ′ citations. $$h_\alpha$$ h α and $$h'_\alpha$$ h α ′ contain similar information, while $$h'_\alpha$$ h α ′ is conceptually more appealing it is harder to obtain from existing databases, hence of less current practical interest. We propose that the $$h_\alpha$$ h α and/or $$h'_\alpha$$ h α ′ indices, or other variants discussed in the paper, are useful complements to the h-index of a scientist to quantify his/her scientific achievement, that rectify an inherent drawback of the h-index, its inability to distinguish between authors with different coauthorships patterns. A high h index in conjunction with a high $$h_\alpha /h$$ h α / h ratio is a hallmark of scientific leadership.

Connected through hyperedge HE-1 (induced by source paper "attacking power indices by manipulating player reliability"):
  with members:
    - "prestige drives epistemic inequality in the diffusion of scientific ideas"
    - "hiding individuals and communities in a social network"
    - "game theoretic network centrality a review"
    - "cooperative games with bounded dependency degree"
    - "efficient computation of the shapley value for game theoretic network centrality"
    - "solving cooperative reliability games"
    - "false name manipulations in weighted voting games"
    - "cloning in elections finding the possible winners"

Connected through hyperedge HE-2 (induced by source paper "does the h α index reinforce the matthew effect in science agent based simulations using stata and r"):
  with members:
    - "crediting multi authored papers to single authors"
    - "assessment and support of emerging research groups"
    - "how long do top scientists maintain their stardom an analysis by region gender and discipline evidence from italy"
    - "can intellectual processes in the sciences also be simulated the anticipation and visualization of possible future states"
    - "betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks"

Connected through hyperedge HE-3 (induced by source paper "h alpha the scientist as chimpanzee or bonobo"):
  with members:
    - "heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation"
    - "the inconsistency 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)