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: "updating and downdating techniques for optimizing network communicability"
  Abstract: The total communicability of a network (or graph) is defined as the sum of the entries in the exponential of the adjacency matrix of the network, possibly normalized by the number of nodes. This quantity offers a good measure of how easily information spreads across the network, and can be useful in the design of networks having certain desirable properties. The total communicability can be computed quickly even for large networks using techniques based on the Lanczos algorithm. #R##N#In this work we introduce some heuristics that can be used to add, delete, or rewire a limited number of edges in a given sparse network so that the modified network has a large total communicability. To this end, we introduce new edge centrality measures which can be used to guide in the selection of edges to be added or removed. #R##N#Moreover, we show experimentally that the total communicability provides an effective and easily computable measure of how "well-connected" a sparse network is.

Connected through hyperedge HE-1 (induced by source paper "disabling external influence in social networks via edge recommendation"):
  with members:
    - "modification of social dominance in social networks by selective adjustment of interpersonal weights"
    - "reducing controversy by connecting opposing views"
    - "approximation algorithms for reducing the spectral radius to control epidemic spread"
    - "incremental algorithms for network management and analysis based on closeness centrality"

Connected through hyperedge HE-2 (induced by source paper "reducing controversy by connecting opposing views"):
  with members:
    - "edge modification criteria for enhancing the communicability of digraphs"
    - "echo chambers in the age of misinformation"
    - "quantifying controversy in social media"
    - "controversy and sentiment in online news"
    - "data portraits connecting people of opposing views"
    - "optimal aggregation algorithms for middleware"

Connected through hyperedge HE-3 (induced by source paper "local rewiring algorithms to increase clustering and grow a small world"):
  with members:
    - "social structure of facebook networks"
    - "faster random walks by rewiring online social networks on the fly"

Connected through hyperedge HE-4 (induced by source paper "edge modification criteria for enhancing the communicability of digraphs"):
  with members:
    - "total communicability as a centrality measure"

Connected through hyperedge HE-5 (induced by source paper "predicting triadic closure in networks using communicability distance functions"):
  with members:
    - "total communicability as a centrality measure"

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)