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: "emergence through selection the evolution of a scientific challenge"
  Abstract: One of the most interesting scientific challenges nowadays deals with#R##N#the analysis and the understanding of complex networks' dynamics and how their#R##N#processes lead to emergence according to the interactions among their components.#R##N#In this paper we approach the definition of new methodologies for the visualization#R##N#and the exploration of the dynamics at play in real dynamic social networks.We#R##N#present a recently introduced formalism called TVG (for time-varying graphs), which#R##N#was initially developed to model and analyze highly-dynamic and infrastructure-less#R##N#communication networks. As an application context, we chose the case of scientific#R##N#communities by analyzing a portion of the ArXiv repository (ten years of publications#R##N#in physics). The analysis presented in the paper passes through different data#R##N#transformations aimed at providing different perspectives on the scientific community#R##N#and its evolutions.#R##N#On a first level we discuss the dataset by means of both a static and temporal#R##N#analysis of citations and co-authorships networks. Afterward, as we consider that#R##N#scientific communities are at the same time communities of practice (through coauthorship)#R##N#and that a citation represents a deliberative selection pointing out the#R##N#relevance of a work in its scientific domain, we introduce a new transformation aimed#R##N#at capturing the interdependencies between collaborations' patterns and citations'#R##N#effects and how they make evolve a goal oriented systems as Science.#R##N#Finally, we show how through the TVG formalism and derived indicators, it is#R##N#possible to capture the interactions patterns behind the emergence (selection) of#R##N#a sub-community among others, as a goal-driven preferential attachment toward a#R##N#set of authors among which there are some key scientists (Nobel prizes) acting as#R##N#attractors on the community.

Connected through hyperedge HE-1 (induced by source paper "rooting opinions in the minds a cognitive model and a formal account of opinions and their dynamics"):
  with members:
    - "dynamic monopolies in colored tori"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "time varying graphs and dynamic networks"
    - "multicolored dynamos on toroidal meshes"
    - "selection in scientific networks"

Connected through hyperedge HE-2 (induced by source paper "understanding opinions a cognitive and formal account"):
  with members:
    - "dynamic monopolies in colored tori"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "time varying graphs and dynamic networks"
    - "multicolored dynamos on toroidal meshes"
    - "selection in scientific networks"

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.SI(Social and Information Networks)