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: "who benefits from the sharing economy of airbnb"
  Abstract: Sharing economy platforms have become extremely popular in the last few years, and they have changed the way in which we commute, travel, and borrow among many other activities. Despite their popularity among consumers, such companies are poorly regulated. For example, Airbnb, one of the most successful examples of sharing economy platform, is often criticized by regulators and policy makers. While, in theory, municipalities should regulate the emergence of Airbnb through evidence-based policy making, in practice, they engage in a false dichotomy: some municipalities allow the business without imposing any regulation, while others ban it altogether. That is because there is no evidence upon which to draft policies. Here we propose to gather evidence from the Web. After crawling Airbnb data for the entire city of London, we find out where and when Airbnb listings are offered and, by matching such listing information with census and hotel data, we determine the socio-economic conditions of the areas that actually benefit from the hospitality platform. The reality is more nuanced than one would expect, and it has changed over the years. Airbnb demand and offering have changed over time, and traditional regulations have not been able to respond to those changes. That is why, finally, we rely on our data analysis to envision regulations that are responsive to real-time demands, contributing to the emerging idea of "algorithmic regulation".

Connected through hyperedge HE-1 (induced by source paper "offline biases in online platforms a study of diversity and homophily in airbnb"):
  with members:
    - "digital identity the effect of trust and reputation information on user judgement in the sharing economy"
    - "gender identity and lexical variation in social media"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-2 (induced by source paper "loyalty programs in the sharing economy optimality and competition"):
  with members:
    - "prices and subsidies in the sharing economy"
    - "pricing and optimization in shared vehicle systems an approximation framework"
    - "market share analysis with brand effect"

Connected through hyperedge HE-3 (induced by source paper "constructing urban tourism space digitally a study of airbnb listings in two berlin neighborhoods"):
  with members:
    - "service providers of the sharing economy who joins and who benefits"
    - "measuring urban deprivation from user generated content"

Connected through hyperedge HE-4 (induced by source paper "the geography of pokemon go beneficial and problematic effects on places and movement"):
  with members:
    - "not at home on the range peer production and the urban rural divide"
    - "cross language wikipedia editing of okinawa japan"
    - "the tower of babel meets web 2 0 user generated content and its applications in a multilingual context"

Connected through hyperedge HE-5 (induced by source paper "service providers of the sharing economy who joins and who benefits"):
  with members:
    - "sharing means renting an entire marketplace analysis of airbnb"

Connected through hyperedge HE-6 (induced by source paper "sharing means renting an entire marketplace analysis of airbnb"):
  with members:
    - "the eruption of airbnb in tourist cities comparing spatial patterns of hotels and peer to peer accommodation in barcelona"

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)