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: "the benefits of segmentation in trial offer markets with social influence and position bias"
  Abstract: The purchasing behaviour of consumers is often influenced by numerous factors, including the visibility of the products and the influence of other customers through their own purchases or their recommendations. #R##N#Motivated by trial-offer and freemium markets and a number of online markets for cultural products, leisure services, and retail, this paper studies the dynamics of a marketplace ran by a single firm and which is visited by heterogeneous consumers whose choice preferences can be modeled using a Mixed Multinomial Logit. In this marketplace, consumers are influenced by past purchases, the inherent appeal of the products, and the visibility of each product. The resulting market generalizes recent models already verified in cultural markets. #R##N#We examine various marketing policies for this market and analyze their long-term dynamics and the potential benefits of social influence. In particular, we show that the heterogeneity of the customers complicates the market significantly: Many of the optimality and computational properties of the corresponding homogeneous market no longer hold. To remedy these limitations, we explore a market segmentation strategy and quantify its benefits. The theoretical results are complemented by Monte Carlo simulations conducted on examples of interest.

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)