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: "epidemic processes over adaptive state dependent networks"
  Abstract: In this paper we study the dynamics of epidemic processes taking place in adaptive networks of arbitrary topology. We focus our study on the adaptive susceptible-infected-susceptible (ASIS) model, where healthy individuals are allowed to temporarily cut edges connecting them to infected nodes in order to prevent the spread of the infection. In this paper we derive a closed-form expression for a lower bound on the epidemic threshold of the ASIS model in arbitrary networks with heterogeneous node and edge dynamics. For networks with homogeneous node and edge dynamics, we show that the resulting lower bound is proportional to the epidemic threshold of the standard SIS model over static networks, with a proportionality constant that depends on the adaptation rates. Furthermore, based on our results, we propose an efficient algorithm to optimally tune the adaptation rates in order to eradicate epidemic outbreaks in arbitrary networks. We confirm the tightness of the proposed lower bounds with several numerical simulations and compare our optimal adaptation rates with popular centrality measures.

Connected through hyperedge HE-1 (induced by source paper "stability of sis spreading processes in networks with non markovian transmission and recovery"):
  with members:
    - "second order moment closure for tighter epidemic thresholds"
    - "optimal containment of epidemics in temporal and adaptive networks"
    - "stability of spreading processes over time varying large scale networks"
    - "improved bounds on the epidemic threshold of exact sis models on complex networks"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"

Connected through hyperedge HE-2 (induced by source paper "efficient containment of exact sir markovian processes on networks"):
  with members:
    - "stability of spreading processes over time varying large scale networks"
    - "optimal patching in clustered malware epidemics"
    - "when is a network epidemic hard to eliminate"
    - "optimal vaccine allocation to control epidemic outbreaks in arbitrary networks"

Connected through hyperedge HE-3 (induced by source paper "contact adaption during epidemics a multilayer network formulation approach"):
  with members:
    - "stability of spreading processes over time varying large scale networks"
    - "disease spread over randomly switched large scale networks"
    - "a convex framework for optimal investment on disease awareness in social networks"

Connected through hyperedge HE-4 (induced by source paper "second order moment closure for tighter epidemic thresholds"):
  with members:
    - "optimal containment of epidemics in temporal and adaptive networks"
    - "improved bounds on the epidemic threshold of exact sis models on complex networks"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"

Connected through hyperedge HE-5 (induced by source paper "optimal containment of epidemics over temporal activity driven networks"):
  with members:
    - "optimal containment of epidemics in temporal and adaptive networks"
    - "modeling complex systems with adaptive networks"

Connected through hyperedge HE-6 (induced by source paper "resource allocation for containing epidemics from temporal network data"):
  with members:
    - "stability of spreading processes over time varying large scale networks"
    - "decentralized protection strategies against sis epidemics in networks"

Connected through hyperedge HE-7 (induced by source paper "optimal containment of epidemics in temporal and adaptive networks"):
  with members:
    - "efficient containment of exact sir markovian processes on networks"
    - "stability of spreading processes over time varying large scale networks"
    - "decentralized protection strategies against sis epidemics in networks"
    - "co evolutionary dynamics in social networks a case study of twitter"
    - "an efficient curing policy for epidemics on graphs"
    - "a convex framework for optimal investment on disease awareness in social networks"
    - "optimal vaccine allocation to control epidemic outbreaks in arbitrary networks"
    - "spectral analysis of virus spreading in random geometric networks"

Connected through hyperedge HE-8 (induced by source paper "protection of complex networks against sir spreading processes"):
  with members:
    - "stability of spreading processes over time varying large scale networks"
    - "optimal patching in clustered malware epidemics"
    - "cost optimal switching protection strategy in adaptive networks"
    - "when is a network epidemic hard to eliminate"
    - "optimal vaccine allocation to control epidemic outbreaks in arbitrary networks"

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)