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 "do zealots increase or decrease the polarization in social networks"):
  Abstract: Zealots are the nodes in a social network who do not change their opinions under social pressure, and have been considered crucial in the study of opinion dynamics on complex networks. Here we show that whether or not their presence affects the social polarization depends sensitively on their topological characteristics, and on the initial conditions of the dynamics. To this end, we first quantify the amount of polarization when nodes of the network can exists in two opposite states. We then consider two types of initial conditions, and two types of zealot assignments. Using two different random graph models as substrates, we study polarization dynamics as the fraction of zealots is varied for all four combinations. Our results indicate that zealots are effective only when they are chosen uniformly randomly in the network, and the random initial conditions are used. Even when one of these conditions is violated, increasing zealots' fraction does not make any substantial change in the polarization values.

Includes members:
  Member "importance of initial conditions in the polarization of complex networks":
    also connected through other hyperedges:
      (none)
  Member "factors in recommending contrarian content on social media":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ideotrace a framework for ideology tracing with a case study on the 2016 u s presidential election")

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)