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 cost of an epidemic over a complex network a random matrix approach"
  Abstract: In this paper we quantify the total economic impact of an epidemic over a#R##N#complex network using tools from random matrix theory. Incorporating the direct#R##N#and indirect costs of infection, we calculate the disease cost in the large#R##N#graph limit for an SIS (Susceptible - Infected - Susceptible) infection#R##N#process. We also give an upper bound on this cost for arbitrary finite graphs#R##N#and illustrate both calculated costs using extensive simulations on random and#R##N#real-world networks. We extend these calculations by considering the total#R##N#social cost of an epidemic, accounting for both the immunization and disease#R##N#costs for various immunization strategies and determining the optimal#R##N#immunization. Our work focuses on the transient behavior of the epidemic, in#R##N#contrast to previous research, which typically focuses on determining the#R##N#steady-state system equilibrium.

Connected through hyperedge HE-1 (induced by source paper "analysis of exact and approximated epidemic models over complex networks"):
  with members:
    - "improved bounds on the epidemic threshold of exact sis models on complex networks"
    - "sirs epidemics on complex networks concurrence of exact markov chain and approximated models"
    - "stability of epidemic models over directed graphs a positive systems approach"

Connected through hyperedge HE-2 (induced by source paper "distributed resource allocation for epidemic control"):
  with members:
    - "multi agent distributed optimization via inexact consensus admm"
    - "decentralized protection strategies against sis epidemics in networks"
    - "optimal vaccine allocation to control epidemic outbreaks in arbitrary networks"
    - "cooperative convex optimization in networked systems augmented lagrangian algorithms with directed gossip communication"

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)