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: "ranking the importance of nodes of complex networks by the equivalence classes approach"
  Abstract: AbstractIdentifying the importance of nodes of complex networks is of interest to theresearch of Social Networks, Biological Networks etc.. Current researchershave proposed several measures or algorithms, such as betweenness, PageR-ank andHITS etc., to identify the node importance. However, these measuresare based on diﬀerent aspects of properties of nodes, and often conﬂict withthe others. A reasonable, fair standard is needed for evaluating and compar-ing these algorithms. This paper develops a framework as the standard forranking the importance of nodes. Four intuitive rules are suggested to mea-sure the node importance, and the equivalence classes approach is employedto resolve the conﬂicts and aggregate the results of the rules. To quantita-tively compare the algorithms, the performance indicators are also proposedbased on a similarity measure. Three widely used real-world networks areused as the test-beds. The experimental results illustrate the feasibility ofthis framework and show that both algorithms, PageRank and HITS, per-form well with bias when dealing with the tested networks. Furthermore, thispaper uses the proposed approach to analyze the structure of the Internet,and draws out the kernel of the Internet with dense links.Keywords: Equivalence Classes, Node Importance, DominanceRelationship, Complex Network, Similarity 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)