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: "parents mention sons more often than daughters on social media"
  Abstract: Gender inequality starts early in life. Parents tend to prefer boys over girls, which is manifested in reproductive behavior, marital life, and parents’ pastimes and investments in their children. While social media and sharing information about children (so-called “sharenting”) have become an integral part of parenthood, whether and how gender preference shapes the online behavior of users are not well known. In this paper we use public posts made by 635,665 users from Saint Petersburg on a popular Russian social networking site, to investigate public mentions of daughters and sons on social media. We find that both men and women mention sons more often than daughters in their posts. We also find that posts featuring sons receive more “likes” on average. Our results indicate that girls are underrepresented in parents’ digital narratives about their children, in a country with an above-average ranking on gender parity. This gender imbalance may send a message that girls are less important than boys or that they deserve less attention, thus reinforcing gender inequality from an early age.

Connected through hyperedge HE-1 (induced by source paper "facebook ads as a demographic tool to measure the urban rural divide"):
  with members:
    - "human values and attitudes towards vaccination in social media"
    - "analyzing gender inequality through large scale facebook advertising data"
    - "predicting demographics moral foundations and human values from digital behaviours"
    - "effect of values and technology use on exercise implications for personalized behavior change interventions"
    - "demographic differentials in facebook usage around the world"
    - "a total error framework for digital traces of humans"
    - "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"
    - "facebook use of sensitive data for advertising in europe"

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)