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: "a communication model for adaptive service provisioning in hybrid wireless networks"
  Abstract: Mobile entities with wireless links are able to form a mobile ad-hoc network. Such an infrastructureless network does not have to be administrated. However, self-organizing principles have to be applied to deal with upcoming problems, e.g. information dissemination. These kinds of problems are not easy to tackle, requiring complex algorithms. Moreover, the usefulness of pure ad-hoc networks is arguably limited. Hence, enthusiasm for mobile ad-hoc networks, which could eliminate the need for any fixed infrastructure, has been damped. The goal is to overcome the limitations of pure ad-hoc networks by augmenting them with instant Internet access, e.g. via integration of UMTS respectively GSM links. However, this raises multiple questions at the technical as well as the organizational level. Motivated by characteristics of small-world networks that describe an efficient network even without central or organized design, this paper proposes to combine mobile ad-hoc networks and infrastructured networks to form hybrid wireless networks. One main objective is to investigate how this approach can reduce the costs of a permanent backbone link and providing in the same way the benefits of useful information from Internet connectivity or service providers. For the purpose of bridging between the different types of networks, an adequate middleware service is the focus of our investigation. This paper shows our first steps forward to this middleware by introducing the Injection Communication paradigm as principal concept.

Connected through hyperedge HE-1 (induced by source paper "waca a hierarchical weighted clustering algorithm optimized for mobile hybrid networks"):
  with members:
    - "multimedia content distribution in hybrid wireless networks using weighted clustering"
    - "inquiring the potential of evoking small world properties for self organizing communication networks"

Connected through hyperedge HE-2 (induced by source paper "developing a collaborative and autonomous training and learning environment for hybrid wireless networks"):
  with members:
    - "analyzing design process and experiments on the anita generic tutoring system"

Connected through hyperedge HE-3 (induced by source paper "localized support for injection point election in hybrid networks"):
  with members:
    - "waca a hierarchical weighted clustering algorithm optimized for mobile hybrid networks"

Connected through hyperedge HE-4 (induced by source paper "inquiring the potential of evoking small world properties for self organizing communication networks"):
  with members:
    - "small large scale wireless networks mobility assisted resource discovery"

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.NI(Networking and Internet Architecture)