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: "privacy preserving social media data publishing"
  Abstract: User-generated social media data are exploding and also of high demand in public and private sectors. The disclosure of complete and intact social media data exacerbates the threats to user privacy. In this paper, we first identify a text-based user-linkage attack on current social media data publishing practices, in which the real users of anonymous IDs in a published dataset can be pinpointed based on the users' unprotected text data. Then we propose a framework for differentially privacy-preserving social media data publishing for the first time in literature. Within our framework, social media data service providers can publish perturbed datasets to provide differential privacy to social media users while offering high data utility to social media data consumers. Our differential privacy mechanism is based on a novel notion of $\epsilon$-text indistinguishability, which we propose to thwart the text-based user-linkage attack. Extensive experiments on real-world and simulated datasets confirm that our framework can enable high-level differential privacy protection and also high data utility at the same time.

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)