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: "extending modularity by incorporating distance functions in the null model"
  Abstract: Modularity is a widely used measure for evaluating community structure in networks. The definition of modularity involves a comparison of the fraction of within-community edges in the observed network and a null model. In the original definition the null model only considers the node degree to rewire edges randomly, failing to be a good representation of many real-world networks. To handle this problem, we incorporate distance functions in the null model to facilitate edges between certain nodes while respecting the degree factor. This enables us to create a framework for generating appropriate modularities adapted to various networks.

Connected through hyperedge HE-1 (induced by source paper "mining for spatially near communities in geo located social networks"):
  with members:
    - "a latent parameter node centric model for spatial networks"
    - "mining for geographically disperse communities in social networks by leveraging distance modularity"
    - "social network intelligence analysis to combat street gang violence"
    - "demon a local first discovery method for overlapping communities"

Connected through hyperedge HE-2 (induced by source paper "mining for geographically disperse communities in social networks by leveraging distance modularity"):
  with members:
    - "a latent parameter node centric model for spatial 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)