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 "estimating shell index in a graph with local information"):
  Abstract: For network scientists, it has always been an interesting problem to identify the influential nodes in a given network. The k-shell decomposition method is a widely used method which assigns a shell-index value to each node based on its influential power. The k-shell method requires the global information of the network to compute the shell-index of a node that is infeasible for large-scale real-world dynamic networks. In this work, we propose a method to estimate the shell-index of a node using its local information. We also propose hill-climbing based approach to hit the top-ranked nodes in a small number of steps. We further discuss a method to estimate the rank of a node based on the proposed estimator.

Includes members:
  Member "global rank estimation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on studying the social networks of students")
  Member "a faster method to estimate closeness centrality ranking":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "global rank estimation")
  Member "degree ranking using local information":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "global rank estimation")
  Member "modeling memetics using edge diversity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rank me thou shalln t compare me")
  Member "pseudo cores the terminus of an intelligent viral meme s trajectory":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "evolving models for meso scale structures")
  Member "rank me thou shalln t compare me":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "global rank estimation")
  Member "evolving models for meso scale structures":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "rank me thou shalln t compare me")
  Member "understanding spreading patterns on social networks based on network topology":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "global rank estimation")

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)