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 role of social networks in online shopping information passing price of trust and consumer choice"
  Abstract: While social interactions are critical to understanding consumer behavior, the relationship between social and commerce networks has not been explored on a large scale. We analyze Taobao, a Chinese consumer marketplace that is the world's largest e-commerce website. What sets Taobao apart from its competitors is its integrated instant messaging tool, which buyers can use to ask sellers about products or ask other buyers for advice. In our study, we focus on how an individual's commercial transactions are embedded in their social graphs. By studying triads and the directed closure process, we quantify the presence of information passing and gain insights into when different types of links form in the network. #R##N#Using seller ratings and review information, we then quantify a price of trust. How much will a consumer pay for transaction with a trusted seller? We conclude by modeling this consumer choice problem: if a buyer wishes to purchase a particular product, how does (s)he decide which store to purchase it from? By analyzing the performance of various feature sets in an information retrieval setting, we demonstrate how the social graph factors into understanding consumer behavior.

Connected through hyperedge HE-1 (induced by source paper "when your friends become sellers an empirical study of social commerce site beidian"):
  with members:
    - "recommender systems with characterized social regularization"
    - "portrait of an online shopper understanding and predicting consumer behavior"

Connected through hyperedge HE-2 (induced by source paper "portrait of an online shopper understanding and predicting consumer behavior"):
  with members:
    - "inferring networks of substitutable and complementary products"
    - "evolution of conversations in the age of email overload"
    - "e commerce in your inbox product recommendations at scale"
    - "link creation and profile alignment in the anobii social network"

Connected through hyperedge HE-3 (induced by source paper "utilizing online social network and location based data to recommend products and categories in online marketplaces"):
  with members:
    - "socrecm a scalable social recommender engine for online marketplaces"

Connected through hyperedge HE-4 (induced by source paper "collective attention and the dynamics of group deals"):
  with members:
    - "do starting and ending effects in fixed price group buying differ"
    - "trends in social media persistence and decay"
    - "using a model of social dynamics to predict popularity of news"
    - "predicting the popularity of online content"
    - "analysis of social voting patterns on digg"
    - "novelty and collective attention"

Connected through hyperedge HE-5 (induced by source paper "swayed by friends or by the crowd"):
  with members:
    - "the online laboratory conducting experiments in a real labor market"

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)