human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "multicore periphery structure in networks"):
  Abstract: Many real-world networked systems exhibit a multicore-periphery structure, i.e., multiple cores, each of which contains densely connected elements, surrounded by sparsely connected elements that define the periphery. Identification of the multiple-periphery structure can provide a new handle on structures and functions of various complex networks, such as cognitive and biological networks, food webs, social networks, and communication and transportation networks. However, still no quantitative method exists to identify the multicore-periphery structure embedded in networks. Prior studies on core-periphery structure focused on either dichotomous or continuous division of a network into a single core and a periphery, whereas community detection algorithms did not discern the periphery from dense cohesive communities. Herein, we introduce a method to identify the optimal partition of a network into multiple dense cores and a loosely-connected periphery, and test the method on a well-known social network and the technology space network, which are best characterized by multiple-core structures. Our method gives precise and meaningful results. The analysis of multicore-periphery structure may advance our understandings of the structures and functions in diverse real-world networks.

Includes members:
  Member "measuring technological distance for patent mapping":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "technet technology semantic network based on patent data")
  Member "identification of core periphery structure in networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "link prediction in networks with core fringe data")
  Member "core periphery structure in networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "spectral density of equitable core periphery graphs")

Question: Please tell me which class the source paper 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)