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: "digital ecosystems self organisation of evolving agent populations"
  Abstract: A primary motivation for our research in Digital Ecosystems is the desire to exploit the self-organising properties of biological ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex, dynamic problems. Self-organisation is perhaps one of the most desirable features in the systems that we engineer, and it is important for us to be able to measure self-organising behaviour. We investigate the self-organising aspects of Digital Ecosystems, created through the application of evolutionary computing to Multi-Agent Systems (MASs), aiming to determine a macroscopic variable to characterise the self-organisation of the evolving agent populations within. We study a measure for the self-organisation called Physical Complexity; based on statistical physics, automata theory, and information theory, providing a measure of information relative to the randomness in an organism's genome, by calculating the entropy in a population. We investigate an extension to include populations of variable length, and then built upon this to construct an efficiency measure to investigate clustering within evolving agent populations. Overall an insight has been achieved into where and how self-organisation occurs in our Digital Ecosystem, and how it can be quantified.

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 stability of evolving agent populations"
    - "biology of applied digital ecosystems"

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"
    - "scalability and optimisation of a committee of agents using genetic algorithm"
    - "digital ecosystems stability of evolving agent populations"
    - "biology of applied digital ecosystems"
    - "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"
    - "biology of applied digital ecosystems"
    - "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"
    - "biology of applied digital ecosystems"
    - "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"
    - "scalability and optimisation of a committee of agents using genetic algorithm"
    - "digital ecosystems stability of evolving agent populations"
    - "biology of applied digital ecosystems"

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)