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 "on a centrality maximization game"):
  Abstract: The Bonacich centrality is a well-known measure of the importance of nodes in a network, concept that is, for example, at the core of the famous Google's page-rank algorithm. In this paper we analyze the network formation when each node aims at maximizing its own centrality by deciding how to rewire its out-links. More precisely, we frame the problem in a game-theoretic setting: we consider a game in which each node of the network can decide where to place its m out-links, having its own centrality as utility function. We study the Nash equilibria (NE) and the best response dynamics of this game and we provide a complete classification of the NE when m=1,2 . Our analysis shows that the centrality maximization performed by each node tends to create disconnected or loosely connected networks, namely 2-cliques for m=1 and rings or a special Butterfly graph when m=2. These results follow by showing that for m=1,2 the best response action of a node is always local.

Includes members:
  Member "the buck passing game":
    also connected through other hyperedges:
      (none)
  Member "maximizing pagerank via outlinks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "certifiable robustness to graph perturbations")

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)