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: "bootstrap methods for the empirical study of decision making and information flows in social systems"
  Abstract: We characterize the statistical bootstrap for the estimation of information- theoretic quantities from data, with particular reference to its use in the study of large-scale social phenomena. Our methods allow one to preserve, approximately, the underlying axiomatic relationships of information theory—in particular, consistency under arbitrary coarse-graining—that motivate use of these quantities in the first place, while providing reliability comparable to the state of the art for Bayesian estimators. We show how information-theoretic quantities allow for rigorous empirical study of the decision-making capacities of rational agents, and the time-asymmetric flows of information in distributed systems. We provide illustrative examples by reference to ongoing collaborative work on the semantic structure of the British Criminal Court system and the conflict dynamics of the contemporary Afghanistan insurgency.

Connected through hyperedge HE-1 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means"):
  with members:
    - "on power chi expansions of f divergences"
    - "an elementary introduction to information geometry"
    - "monte carlo information geometry the dually flat case"
    - "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
    - "optimal interval clustering application to bregman clustering and statistical mixture learning"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "jeffreys centroids a closed form expression for positive histograms and a guaranteed tight approximation for frequency histograms"

Connected through hyperedge HE-2 (induced by source paper "dialectometric analysis of language variation in twitter"):
  with members:
    - "demographic dialectal variation in social media a case study of african american english"
    - "evaluating unsupervised dutch word embeddings as a linguistic resource"
    - "diffusion of lexical change in social media"

Connected through hyperedge HE-3 (induced by source paper "conflict and computation on wikipedia a finite state machine analysis of editor interactions"):
  with members:
    - "the evolution of wikipedia s norm network"
    - "analyzing organizational routines in online knowledge collaborations a case for sequence analysis in cscw"
    - "collective phenomena and non finite state computation in a human social system"

Connected through hyperedge HE-4 (induced by source paper "the evolution of wikipedia s norm network"):
  with members:
    - "laboratories of oligarchy how the iron law extends to peer production"

Connected through hyperedge HE-5 (induced by source paper "understanding confounding effects in linguistic coordination an information theoretic approach"):
  with members:
    - "statistical tests for contagion in observational social network studies"
    - "chameleons in imagined conversations a new approach to understanding coordination of linguistic style in dialogs"
    - "echoes of power language effects and power differences in social interaction"
    - "mark my words linguistic style accommodation in social media"

Connected through hyperedge HE-6 (induced by source paper "demystifying information theoretic clustering"):
  with members:
    - "collective phenomena and non finite state computation in a human social system"
    - "objective criteria for the evaluation of clustering methods"

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)