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 inference of network topology and confirmation bias in cyber social networks"):
  Abstract: This paper studies topology inference, from agent states, of a directed cyber-social network with opinion spreading dynamics model that explicitly takes confirmation bias into account. The cyber-social network comprises a set of partially connected directed network of agents at the social level, and a set of information sources at the cyber layer. The necessary and sufficient conditions for the existence of exact inference solution are characterized. A method for exact inference, when it is possible, of entire network topology as well as confirmation bias model parameters is proposed for the case where the bias mentioned earlier follows a piece-wise linear model. The particular case of no confirmation bias is analyzed in detail. For the setting where this model is not piece-wise linear, an algorithm that approximates the network topology, building on the exact inference method, is presented. Numerical simulations demonstrate the effectiveness of the proposed methods and algorithm for different scenarios.

Includes members:
  Member "semi blind inference of topologies and dynamical processes over dynamic graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "graph signal processing part iii machine learning on graphs from graph topology to applications")
  Member "polarization and fake news early warning of potential misinformation targets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a multi layer approach to disinformation detection on twitter")
  Member "opinion dynamics with varying susceptibility to persuasion":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "network disruption maximizing disagreement and polarization in social networks")
  Member "spread of information with confirmation bias in cyber social networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "competitive information spread with confirmation bias in cyber social networks")
  Member "fake news in social networks":
    also connected through other hyperedges:
      (none)
  Member "information theoretic approach to strategic communication as a hierarchical game":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "dynamic information design a simple problem on optimal sequential information disclosure")
  Member "optimal investment strategies for competing camps in a social network a broad framework":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "competitive information spread with confirmation bias in cyber social networks")
  Member "network inference from consensus dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "exact blind community detection from signals on multiple 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)