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: "information design in crowdfunding under thresholding policies"
  Abstract: Crowdfunding has emerged as a prominent way for entrepreneurs to secure funding without sophisticated intermediation. In crowdfunding, an entrepreneur often has to decide how to disclose the campaign status in order to collect as many contributions as possible. Such decisions are difficult to make primarily due to incomplete information. We propose information design as a tool to help the entrepreneur to improve revenue by influencing backers' beliefs. We introduce a heuristic algorithm to dynamically compute information-disclosure policies for the entrepreneur, followed by an empirical evaluation to demonstrate its competitiveness over the widely-adopted immediate-disclosure policy. Our results demonstrate that the immediate-disclosure policy is not optimal when backers follow thresholding policies despite its ease of implementation. With appropriate heuristics, an entrepreneur can benefit from dynamic information disclosure. Our work sheds light on information design in a dynamic setting where agents make decisions using thresholding policies.

Connected through hyperedge HE-1 (induced by source paper "emerging privacy issues and solutions in cyber enabled sharing services from multiple perspectives"):
  with members:
    - "regulating highly automated robot ecologies insights from three user studies"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"
    - "managing autonomous mobility on demand systems for better passenger experience"
    - "end to end privacy for open big data markets"
    - "the hidden cost of accommodating crowdfunder privacy preferences a randomized field experiment"
    - "reliable crowdsourcing for multi class labeling using coding theory"
    - "a clustering based location privacy protection scheme for pervasive computing"

Connected through hyperedge HE-2 (induced by source paper "emerging privacy issues and solutions in cyber enabled sharing services from multiple perspectives"):
  with members:
    - "regulating highly automated robot ecologies insights from three user studies"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"
    - "managing autonomous mobility on demand systems for better passenger experience"
    - "end to end privacy for open big data markets"
    - "the hidden cost of accommodating crowdfunder privacy preferences a randomized field experiment"
    - "reliable crowdsourcing for multi class labeling using coding theory"
    - "a clustering based location privacy protection scheme for pervasive computing"

Connected through hyperedge HE-3 (induced by source paper "civic crowdfunding for agents with negative valuations and agents with asymmetric beliefs"):
  with members:
    - "the crowdfunding game"
    - "referral embedded provision point mechanisms for crowdfunding of public projects"

Connected through hyperedge HE-4 (induced by source paper "multi winner contests for strategic diffusion in social networks"):
  with members:
    - "selling multiple items via social networks"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"
    - "the rise of social bots"
    - "the simple rules of social contagion"
    - "social dynamics of digg"
    - "time critical social mobilization"
    - "a data based approach to social influence maximization"

Connected through hyperedge HE-5 (induced by source paper "designing refund bonus schemes for provision point mechanism in civic crowdfunding"):
  with members:
    - "the crowdfunding game"
    - "referral embedded provision point mechanisms for crowdfunding of public projects"

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.AI(Artificial Intelligence)