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: "modification of social dominance in social networks by selective adjustment of interpersonal weights"
  Abstract: According to the DeGroot-Friedkin model of a social network, an individual's social power evolves as the network discusses individual opinions over a sequence of issues. Under mild assumptions on the connectivity of the network, the social power of every individual converges to a constant strictly positive value as the number of issues discussed increases. If the network has a special topology, termed "star topology", then all social power accumulates with the individual at the centre of the star. This paper studies the strategic introduction of new individuals and/or interpersonal relationships into a social network with star topology to reduce the social power of the centre individual. In fact, several strategies are proposed. For each strategy, we derive necessary and sufficient conditions on the strength of the new interpersonal relationships, based on local information, which ensures that the centre individual no longer has the greatest social power within the social network. Interpretations of these conditions show that the strategies are remarkably intuitive and that certain strategies are favourable compared to others, all of which is sociologically expected.

Connected through hyperedge HE-1 (induced by source paper "evolution of social power in social networks with dynamic topology"):
  with members:
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"
    - "nonlinear mapping convergence and application to social networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
    - "distributed evaluation and convergence of self appraisals in social networks"

Connected through hyperedge HE-2 (induced by source paper "disabling external influence in social networks via edge recommendation"):
  with members:
    - "reducing controversy by connecting opposing views"
    - "approximation algorithms for reducing the spectral radius to control epidemic spread"
    - "updating and downdating techniques for optimizing network communicability"
    - "incremental algorithms for network management and analysis based on closeness centrality"

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)