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: "biology of applied digital ecosystems"
  Abstract: A primary motivation for research in digital ecosystems is the desire to exploit the self-organising properties of natural ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex, dynamic problems. However, the biological processes that contribute to these properties have not been made explicit in digital ecosystem research. Here, we discuss how biological properties contribute to the self-organising features of natural ecosystems. These properties include populations of evolving agents, a complex dynamic environment, and spatial distributions which generate local interactions. The potential for exploiting these properties in artificial systems is then considered. An example architecture, the digital business ecosystem (DBE), is considered in detail. Simulation results imply that the DBE performs better at large scales than a comparable service-oriented architecture. These results suggest that incorporating ideas from theoretical ecology can contribute to useful self-organising properties in digital ecosystems.

Connected through hyperedge HE-1 (induced by source paper "ecosystem oriented distributed evolutionary computing"):
  with members:
    - "self organisation of evolving agent populations in digital ecosystems"
    - "stability of evolving multiagent systems"
    - "the computing of digital ecosystems"
    - "digital ecosystems ecosystem oriented architectures"
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital ecosystems self organisation of evolving agent populations"
    - "digital ecosystems stability of evolving agent populations"

Connected through hyperedge HE-2 (induced by source paper "self organisation of evolving agent populations in digital ecosystems"):
  with members:
    - "the computing of digital ecosystems"
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital ecosystems self organisation of evolving agent populations"
    - "scalability and optimisation of a committee of agents using genetic algorithm"
    - "digital ecosystems stability of evolving agent populations"
    - "digital ecosystems optimisation by a distributed intelligence"
    - "digital ecosystems evolving service oriented architectures"

Connected through hyperedge HE-3 (induced by source paper "the computing of digital ecosystems"):
  with members:
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital business ecosystems natural science paradigms"
    - "digital ecosystems self organisation of evolving agent populations"
    - "digital ecosystems optimisation by a distributed intelligence"
    - "digital ecosystems evolving service oriented architectures"
    - "creating a digital ecosystem service oriented architectures with distributed evolutionary computing"

Connected through hyperedge HE-4 (induced by source paper "digital ecosystems ecosystem oriented architectures"):
  with members:
    - "the computing of digital ecosystems"
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital business ecosystems natural science paradigms"
    - "digital ecosystems self organisation of evolving agent populations"
    - "digital ecosystems evolving service oriented architectures"
    - "avoiding the bloat with stochastic grammar based genetic programming"

Connected through hyperedge HE-5 (induced by source paper "stability of evolving multiagent systems"):
  with members:
    - "the computing of digital ecosystems"
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital ecosystems self organisation of evolving agent populations"
    - "scalability and optimisation of a committee of agents using genetic algorithm"
    - "digital ecosystems stability of evolving agent populations"

Connected through hyperedge HE-6 (induced by source paper "complex adaptive digital ecosystems"):
  with members:
    - "the abc of digital business ecosystems"
    - "digital ecosystems in the clouds towards community cloud computing"
    - "community cloud computing"
    - "digital ecosystems evolving service oriented architectures"
    - "creating a digital ecosystem service oriented architectures with distributed evolutionary computing"
    - "pervasive service architecture for a digital business ecosystem"

Connected through hyperedge HE-7 (induced by source paper "computing of applied digital ecosystems"):
  with members:
    - "digital business ecosystems natural science paradigms"
    - "digital ecosystems evolving service oriented architectures"
    - "creating a digital ecosystem service oriented architectures with distributed evolutionary computing"

Connected through hyperedge HE-8 (induced by source paper "digital ecosystems self organisation of evolving agent populations"):
  with members:
    - "digital business ecosystems natural science paradigms"
    - "digital ecosystems evolving service oriented architectures"
    - "creating a digital ecosystem service oriented architectures with distributed evolutionary computing"

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.NE(Neural and Evolutionary Computing)