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: "explaining the emergence of echo chambers on social media the role of ideology and extremism"
  Abstract: The emergence of politically driven divisions in online discussion networks has attracted a wealth of literature, but also one which has thus far been largely limited to single country studies. Hence whilst there is good evidence that these networks do divide and fragment into what are often described as “echo chambers”, we know little about the factors which might explain this division or make networks more or less fragmented, as studies have been limited to a small number of political groupings with limited possibilities for systematic comparison. This study seeks to remedy this deficit, by providing a systematic large scale study of fragmentation on Twitter which considers discussion networks surrounding 59 different political parties in 11 different countries. It shows that political party groupings which are further apart in ideological terms interact less, and that individuals and parties which sit at the extreme ends of the ideological scale are particularly likely to form echo chambers. Indeed, exchanges between centrist parties who sit on different sides of the left-right divide are more likely than communication between centrist and extremist parties who are, notionally, from the same ideological wing. In light of the results, theory about exposure to different ideological viewpoints online is discussed and enhanced.

Connected through hyperedge HE-1 (induced by source paper "on the inevitability of online echo chambers"):
  with members:
    - "quantifying biases in online information exposure"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "limited individual attention and online virality of low quality information"
    - "measuring online social bubbles"
    - "the role of information diffusion in the evolution of social networks"
    - "partisan asymmetries in online political activity"
    - "happiness is assortative in online social networks"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-2 (induced by source paper "computational international relations what can programming coding and internet research do for the discipline"):
  with members:
    - "wikipedia traffic data and electoral prediction towards theoretically informed models"
    - "the spatial ecology of war and peace"

Connected through hyperedge HE-3 (induced by source paper "towards the modeling of behavioral trajectories of users in online social media"):
  with members:
    - "network segregation in a model of misinformation and fact checking"
    - "users polarization on facebook and youtube"
    - "hoaxy a platform for tracking online misinformation"
    - "the anatomy of brexit debate on facebook"
    - "on the statistical properties of viral misinformation in online social media"
    - "conflict and computation on wikipedia a finite state machine analysis of editor interactions"
    - "personality traits and echo chambers on facebook"
    - "the rise of social bots"

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.SI(Social and Information Networks)