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: "complexity and information measuring emergence self organization and homeostasis at multiple scales"
  Abstract: Concepts used in the scientific study of complex systems have become so widespread that their use and abuse has led to ambiguity and confusion in their meaning. In this article, we use information theory to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis. The purpose is to clarify the meaning of these concepts with the aid of the proposed formal measures. In a simplified version of the measures (focusing on the information produced by a system), emergence becomes the opposite of self-organization, while complexity represents their balance. Homeostasis can be seen as a measure of the stability of the system. We use computational experiments on random Boolean networks and elementary cellular automata to illustrate our measures at multiple scales. © 2012 Wiley Periodicals, Inc. Complexity, 2012 © 2012 Wiley Periodicals, Inc.

Connected through hyperedge HE-1 (induced by source paper "latent structure in collaboration the case of reddit r place"):
  with members:
    - "node2vec scalable feature learning for networks"
    - "bpr bayesian personalized ranking from implicit feedback"
    - "cooperation and contagion in web based networked public goods experiments"

Connected through hyperedge HE-2 (induced by source paper "calculating entropy at different scales among diverse communication systems"):
  with members:
    - "quantifying structure differences in literature using symbolic diversity and entropy criteria"
    - "a fundamental scale of descriptions for analyzing information content of communication systems"
    - "complexity measurement of natural and artificial languages"

Connected through hyperedge HE-3 (induced by source paper "information and computation"):
  with members:
    - "learning social intelligence and the turing test why an out of the box turing machine will not pass the turing test"
    - "the world as evolving information"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"
    - "computing networks a general framework to contrast neural and swarm cognitions"

Connected through hyperedge HE-4 (induced by source paper "complexity distribution of agent policies"):
  with members:
    - "effective complexity and its relation to logical depth"

Connected through hyperedge HE-5 (induced by source paper "living is information processing from molecules to global systems"):
  with members:
    - "computing networks a general framework to contrast neural and swarm cognitions"

Connected through hyperedge HE-6 (induced by source paper "measuring the complexity of ultra large scale adaptive systems"):
  with members:
    - "the world as evolving information"

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.IT(Information Theory)