human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "on the inevitability of online echo chambers"
  Abstract: While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both opinions and social connections based on the information to which they are exposed through sharing. Model dynamics demonstrate that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities. These predictions are consistent with empirical data from Twitter. Although our findings suggest that echo chambers are somewhat inevitable given the mechanisms at play in online social media, they also provide insights into possible mitigation strategies.

Connected through hyperedge HE-1 (induced by source paper "positive algorithmic bias cannot stop fragmentation in homophilic social networks"):
  with members:
    - "understanding filter bubbles and polarization in social networks"
    - "measuring online social bubbles"
    - "exponential segregation in a two dimensional schelling model with tolerant individuals"
    - "unperturbed schelling segregation in two or three dimensions"
    - "digital morphogenesis via schelling segregation"
    - "an analysis of one dimensional schelling segregation"

Connected through hyperedge HE-2 (induced by source paper "information credibility in the social web contexts approaches and open issues"):
  with members:
    - "combating fake news a survey on identification and mitigation techniques"
    - "automated fact checking task formulations methods and future directions"
    - "the spread of low credibility content by social bots"
    - "automated hate speech detection and the problem of offensive language"
    - "fake news detection on social media a data mining perspective"
    - "echo chambers in the age of misinformation"

Connected through hyperedge HE-3 (induced by source paper "a geometric model of opinion polarization"):
  with members:
    - "balancing information exposure in social networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "reducing controversy by connecting opposing views"
    - "the evolution of beliefs over signed social networks"
    - "biased assimilation homophily and the dynamics of polarization"

Question: Please tell me which class the center node 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.CY(Computers and Society)