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: "participatory militias an analysis of an armed movement s online audience"
  Abstract: Armed groups of civilians known as "self-defense forces" have ousted the powerful Knights Templar drug cartel from several towns in Michoacan. This militia uprising has unfolded on social media, particularly in the "VXM" ("Valor por Michoacan," Spanish for "Courage for Michoacan") Facebook page, gathering more than 170,000 fans. Previous work on the Drug War has documented the use of social media for real-time reports of violent clashes. However, VXM goes one step further by taking on a pro-militia propagandist role, engaging in two-way communication with its audience. This paper presents a descriptive analysis of VXM and its audience. We examined nine months of posts, from VXM's inception until May 2014, totaling 6,000 posts by VXM administrators and more than 108,000 comments from its audience. We describe the main conversation themes, post frequency and relationships with offline events and public figures. We also characterize the behavior of VXM's most active audience members. Our work illustrates VXM's online mobilization strategies, and how its audience takes part in defining the narrative of this armed conflict. We conclude by discussing possible applications of our findings for the design of future communication technologies.

Connected through hyperedge HE-1 (induced by source paper "facebook ads monitor an independent auditing system for political ads on facebook"):
  with members:
    - "analyzing the digital traces of political manipulation the 2016 russian interference twitter campaign"
    - "inside the right leaning echo chambers characterizing gab an unmoderated social system"
    - "when politicians talk about politics identifying political tweets of brazilian congressmen"
    - "political discourse on social media echo chambers gatekeepers and the price of bipartisanship"
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "portuguese word embeddings evaluating on word analogies and natural language tasks"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-2 (induced by source paper "analyzing right wing youtube channels hate violence and discrimination"):
  with members:
    - "trollspot detecting misbehavior in commenting platforms"
    - "like sheep among wolves characterizing hateful users on twitter"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "semantics derived automatically from language corpora contain human like biases"
    - "empath understanding topic signals in large scale text"
    - "shirtless and dangerous quantifying linguistic signals of gender bias in an online fiction writing community"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-3 (induced by source paper "mobilizing the trump train understanding collective action in a political trolling community"):
  with members:
    - "an army of me sockpuppets in online discussion communities"
    - "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web"
    - "botivist calling volunteers to action using online bots"
    - "antisocial behavior in online discussion communities"
    - "evolution of reddit from the front page of the internet to a self referential community"
    - "how to ask for a favor a case study on the success of altruistic requests"

Connected through hyperedge HE-4 (induced by source paper "exploring blockchain for trustful collaborations between immigrants and governments"):
  with members:
    - "understanding interface design and mobile money perceptions in latin america"

Connected through hyperedge HE-5 (induced by source paper "redes sociales participacion ciudadana y la hipotesis del slacktivismo lecciones del caso de el bronco social media civic engagement and the slacktivism hypothesis lessons from mexico s el bronco"):
  with members:
    - "botivist calling volunteers to action using online bots"
    - "narcotweets social media in wartime"
    - "modeling the adoption and use of social media by nonprofit organizations"

Connected through hyperedge HE-6 (induced by source paper "botivist calling volunteers to action using online bots"):
  with members:
    - "the rise of social bots"
    - "political bots and the manipulation of public opinion in venezuela"
    - "tag me maybe perceptions of public targeted sharing on facebook"
    - "people are strange when you re a stranger impact and influence of bots on social networks"
    - "computers can t give credit how automatic attribution falls short in an online remixing community"

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)