human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "preserving privacy enables coexistence equilibrium of competitive diffusion in social networks"):
  Abstract: With the advent of social media, different companies often promote  competing  products simultaneously for word-of-mouth diffusion and adoption by users in social networks. For such scenarios of   competitive diffusion , prior studies show that the weaker product will soon become extinct (i.e., “winner takes all”). It is intriguing to observe that in practice, however, competing products, such as iPhone and Android phone, often coexist in the market. This discrepancy may result from many factors such as the phenomenon that a user in the real world may not spread its use of a product due to dissatisfaction of the product or privacy protection. In this paper, we incorporate users’ privacy for spreading behavior into competitive diffusion of two products and develop a problem formulation for  privacy-aware competitive diffusion . Then, we prove that privacy-preserving mechanisms can enable a “coexistence equilibrium” (i.e., two competing products coexist in the equilibrium) in competitive diffusion over social networks. In addition to the rigorous analysis, we also demonstrate our results with experiments over real network topologies.

Includes members:
  Member "make up your mind the price of online queries in differential privacy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "privately learning high dimensional distributions")
  Member "the value of privacy strategic data subjects incentive mechanisms and fundamental limits":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "prospect theoretic analysis of privacy preserving mechanism")
  Member "competitive diffusion in social networks quality or seeding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on inference of network topology and confirmation bias in cyber social networks")
  Member "prince privacy preserving mechanisms for influence diffusion in online social networks":
    also connected through other hyperedges:
      (none)
  Member "virality prediction and community structure in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deep collaborative embedding for information cascade prediction")
  Member "evolution of social attribute networks measurements modeling and implications using google":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "defending against machine learning based inference attacks via adversarial examples opportunities and challenges")
  Member "diffusion in social networks with competing products":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "coordination games on weighted directed graphs")
  Member "competitive contagion in networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "approximation algorithms for coordinating ad campaigns on social networks")

Question: Please tell me which class the source paper 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)