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 hidden cost of accommodating crowdfunder privacy preferences a randomized field experiment"
  Abstract: Online crowdfunding has received a great deal of attention from entrepreneurs and policymakers as a promising avenue to fostering entrepreneurship and innovation. A notable aspect of this shift from an offline to an online setting is that it brings increased visibility and traceability of transactions. Many crowdfunding platforms therefore provide mechanisms that enable a campaign contributor to conceal his or her identity or contribution amount from peers. We study the impact of these information (privacy) control mechanisms on crowdfunder behavior. Employing a randomized experiment at one of the largest online crowdfunding platforms, we find evidence of both positive (e.g., comfort) and negative (e.g., privacy priming) causal effects. We find that reducing access to information controls induces a net increase in fundraising, yet this outcome results from two competing influences: treatment increases willingness to engage with the platform (a 4.9% increase in the probability of contribution) and simultaneously decreases the average contribution (a $5.81 decline). This decline derives from a publicity effect, wherein contributors respond to a lack of privacy by tempering extreme contributions. We unravel the causal mechanisms that drive the results and discuss the implications of our findings for the design of online platforms.

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"
    - "information design in crowdfunding under thresholding policies"
    - "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"
    - "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"
    - "information design in crowdfunding under thresholding policies"
    - "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"
    - "reliable crowdsourcing for multi class labeling using coding theory"
    - "a clustering based location privacy protection scheme for pervasive computing"

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)