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: "an analysis of interactions within and between extreme right communities in social media"
  Abstract: Many extreme right groups have had an online presence for some time through the use of dedicated websites. This has been accompanied by increased activity in social media platforms in recent years, enabling the dissemination of extreme right content to a wider audience. In this paper, we present an analysis of the activity of a selection of such groups on Twitter, using network representations based on reciprocal follower and interaction relationships, while also analyzing topics found in their corresponding tweets. International relationships between certain extreme right groups across geopolitical boundaries are initially identified. Furthermore, we also discover stable communities of accounts within local interaction networks, in addition to associated topics, where the underlying extreme right ideology of these communities is often identifiable.

Connected through hyperedge HE-1 (induced by source paper "the alt right and global information warfare"):
  with members:
    - "false information on web and social media a survey"
    - "fake news detection on social media a data mining perspective"
    - "the rise of social bots"

Connected through hyperedge HE-2 (induced by source paper "applying social media intelligence for predicting and identifying on line radicalization and civil unrest oriented threats"):
  with members:
    - "beating the news with embers forecasting civil unrest using open source indicators"
    - "uncovering the wider structure of extreme right communities spanning popular online networks"
    - "solutions to detect and analyze online radicalization a survey"
    - "early warning analysis for social diffusion events"

Connected through hyperedge HE-3 (induced by source paper "uncovering the wider structure of extreme right communities spanning popular online networks"):
  with members:
    - "identifying topical twitter communities via user list aggregation"
    - "recipe recommendation using ingredient networks"

Connected through hyperedge HE-4 (induced by source paper "the extreme right filter bubble"):
  with members:
    - "producing a unified graph representation from multiple social network views"
    - "uncovering the wider structure of extreme right communities spanning popular online networks"

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)