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: "why do men get more attention exploring factors behind success in an online design community"
  Abstract: Online platforms are an increasingly popular tool for people to produce, promote or sell their work. However recent studies indicate that social disparities and biases present in the real world might transfer to online platforms and could be exacerbated by seemingly harmless design choices on the site (e.g., recommendation systems or publicly visible success measures). In this paper we analyze an exclusive online community of teams of design professionals called Dribbble and investigate apparent differences in outcomes by gender. Overall, we find that men produce more work, and are able to show it to a larger audience thus receiving more likes. Some of this effect can be explained by the fact that women have different skills and design different images. Most importantly however, women and men position themselves differently in the Dribbble community. Our investigation of users' position in the social network shows that women have more clustered and gender homophilous following relations, which leads them to have smaller and more closely knit social networks. Overall, our study demonstrates that looking behind the apparent patterns of gender inequalities in online markets with the help of social networks and product differentiation helps us to better understand gender differences in success and failure.

Connected through hyperedge HE-1 (induced by source paper "the effects of gender signals and performance in online product reviews"):
  with members:
    - "gender differences in participation and reward on stack overflow"
    - "gendered behavior as a disadvantage in open source software development"
    - "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 "gender differences in participation and reward on stack overflow"):
  with members:
    - "women through the glass ceiling gender asymmetries in wikipedia"
    - "inferring gender from names on the web a comparative evaluation of gender detection methods"
    - "discrimination in online ad delivery"

Connected through hyperedge HE-3 (induced by source paper "and now for something completely different visual novelty in an online network of designers"):
  with members:
    - "bam the behance artistic media dataset for recognition beyond photography"
    - "an image is worth more than a thousand favorites surfacing the hidden beauty of flickr pictures"
    - "quantifying creativity in art networks"
    - "going deeper with convolutions"
    - "6 seconds of sound and vision creativity in micro videos"
    - "an extended cencov campbell characterization of conditional information geometry"

Connected through hyperedge HE-4 (induced by source paper "responsible team players wanted an analysis of soft skill requirements in job advertisements"):
  with members:
    - "professional gender gaps across us cities"
    - "learning representations for soft skill matching"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-5 (induced by source paper "gendered behavior as a disadvantage in open source software development"):
  with members:
    - "a study of whatsapp usage patterns and prediction models without message content"
    - "inferring gender from names on the web a comparative evaluation of gender detection methods"

Connected through hyperedge HE-6 (induced by source paper "characterizing interconnections and linguistic patterns in twitter"):
  with members:
    - "discrimination in online ad delivery"

Connected through hyperedge HE-7 (induced by source paper "linguistic diversities of demographic groups in twitter"):
  with members:
    - "demographics of news sharing in the u s twittersphere"
    - "who makes trends understanding demographic biases in crowdsourced recommendations"
    - "greysanatomy vs yankees demographics and hashtag use on twitter"
    - "inferring gender from names on the web a comparative evaluation of gender detection methods"
    - "reverse engineering socialbot infiltration strategies in twitter"
    - "learning deep face representation"

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.SI(Social and Information Networks)