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: "gender differences in participation and reward on stack overflow"
  Abstract: Programming is a valuable skill in the labor market, making the underrepresentation of#R##N#women in computing an increasingly important issue. Online question and answer platforms#R##N#serve a dual purpose in this field: they form a body of knowledge useful as a reference and#R##N#learning tool, and they provide opportunities for individuals to demonstrate credible, verifi-#R##N#able expertise. Issues, such as male-oriented site design or overrepresentation of men among#R##N#the site's elite may therefore compound the issue of women's underrepresentation in IT. In#R##N#this paper we audit the differences in behavior and outcomes between men and women on#R##N#Stack Overflow, the most popular of these Q&A sites. We observe significant differences in#R##N#how men and women participate in the platform and how successful they are. For example,#R##N#the average woman has roughly half of the reputation points, the primary measure of success#R##N#on the site, of the average man. Using an Oaxaca-Blinder decomposition, an econometric#R##N#technique commonly applied to analyze differences in wages between groups, we find that#R##N#most of the gap in success between men and women can be explained by differences in#R##N#their activity on the site and differences in how these activities are rewarded. Specifically,#R##N#1) men give more answers than women and 2) are rewarded more for their answers on aver#R##N#age, even when controlling for possible confounders such as tenure or buy-in to the site.#R##N#Women ask more questions and gain more reward per question. We conclude with a hypo#R##N#thetical redesign of the site's scoring system based on these behavioral differences, cutting #R##N#the reputation gap in half.

Connected through hyperedge HE-1 (induced by source paper "the effects of gender signals and performance in online product reviews"):
  with members:
    - "gendered behavior as a disadvantage in open source software development"
    - "why do men get more attention exploring factors behind success in an online design community"
    - "ups and downs modeling the visual evolution of fashion trends with one class collaborative filtering"
    - "inferring gender from names on the web a comparative evaluation of gender detection methods"
    - "why should i trust you explaining the predictions of any classifier"
    - "it s a man s wikipedia assessing gender inequality in an online encyclopedia"
    - "character level convolutional networks for text classification"
    - "image based recommendations on styles and substitutes"

Connected through hyperedge HE-2 (induced by source paper "stackemo towards enhancing user experience by augmenting stack overflow with emojis"):
  with members:
    - "toxic code snippets on stack overflow"
    - "analyzing and supporting adaptation of online code examples"
    - "a gold standard for emotion annotation in stack overflow"

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.CY(Computers and Society)