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 "optimal containment of epidemics in temporal and adaptive networks"):
  Abstract: In this chapter, we focus on the problem of containing the spread of diseases taking place on both temporal and adaptive networks (i.e., networks whose structure changes as a result of the epidemic). We specifically focus on the problem of finding the optimal allocation of containment resources (e.g., vaccines, medical personnel, traffic control resources, etc.) to eradicate epidemic outbreaks over the following three models of temporal and adaptive networks: (i) Markovian temporal networks, (ii) aggregated-Markovian temporal networks, and (iii) stochastically adaptive network models. For each model, we present a rigorous and tractable mathematical framework to efficiently find the optimal distribution of control resources to eliminate the disease. In contrast with other existing results, our results are not based on heuristic control strategies, but on a disciplined analysis using tools from dynamical systems and convex optimization.

Includes members:
  Member "efficient containment of exact sir markovian processes on networks":
    also connected through other hyperedges:
      (none)
  Member "stability of spreading processes over time varying large scale networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "stability of sis spreading processes in networks with non markovian transmission and recovery")
  Member "epidemic processes over adaptive state dependent networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stability of sis spreading processes in networks with non markovian transmission and recovery")
  Member "decentralized protection strategies against sis epidemics in networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "designing virus resistant high performance networks a game formation approach")
  Member "co evolutionary dynamics in social networks a case study of twitter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the efficiency of the information networks in social media")
  Member "an efficient curing policy for epidemics on graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning mixtures of graphs from epidemic cascades")
  Member "a convex framework for optimal investment on disease awareness in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "contact adaption during epidemics a multilayer network formulation approach")
  Member "optimal vaccine allocation to control epidemic outbreaks in arbitrary networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "transient dynamics of epidemic spreading and its mitigation on large 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)