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: "whatsapp doc a first look at whatsapp public group data"
  Abstract: In this dataset paper we describe our work on the collection and analysis of public WhatsApp group data. Our primary goal is to explore the feasibility of collecting and using WhatsApp data for social science research. We therefore present a generalisable data collection methodology, and a publicly available dataset for use by other researchers. To provide context, we perform statistical exploration to allow researchers to understand what public WhatsApp group data can be collected and how this data can be used. Given the widespread use of WhatsApp, our techniques to obtain public data and potential applications are important for the community.

Connected through hyperedge HE-1 (induced by source paper "the pushshift reddit dataset"):
  with members:
    - "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort"
    - "towards ethical content based detection of online influence campaigns"
    - "content removal as a moderation strategy compliance and other outcomes in the changemyview community"
    - "are all successful communities alike characterizing and predicting the success of online communities"
    - "political discussions in homogeneous and cross cutting communication spaces"
    - "modelling structure and predicting dynamics of discussion threads in online boards"
    - "can you tell me how to get past sesame street sentence level pretraining beyond language modeling"
    - "who let the trolls out towards understanding state sponsored trolls"

Connected through hyperedge HE-2 (induced by source paper "raiders of the lost kek 3 5 years of augmented 4chan posts from the politically incorrect board"):
  with members:
    - "and we will fight for our race a measurement study of genetic testing conversations on reddit and 4chan"
    - "you know what to do proactive detection of youtube videos targeted by coordinated hate attacks"
    - "large scale crowdsourcing and characterization of twitter abusive behavior"
    - "on the origins of memes by means of fringe web communities"
    - "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web"

Connected through hyperedge HE-3 (induced by source paper "the pushshift telegram dataset"):
  with members:
    - "nela gt 2018 a large multi labelled news dataset for the study of misinformation in news articles"
    - "can whatsapp counter misinformation by limiting message forwarding"
    - "large scale crowdsourcing and characterization of twitter abusive behavior"

Connected through hyperedge HE-4 (induced by source paper "can whatsapp counter misinformation by limiting message forwarding"):
  with members:
    - "on microtargeting socially divisive ads a case study of russia linked ad campaigns on facebook"
    - "disinformation warfare understanding state sponsored trolls on twitter and their influence on the web"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "navigating the massive world of reddit using backbone networks to map user interests in social media"
    - "the role of social networks in information diffusion"
    - "image labeling on a network using social network metadata for image classification"

Connected through hyperedge HE-5 (induced by source paper "characterizing attention cascades in whatsapp groups"):
  with members:
    - "do diffusion protocols govern cascade growth"
    - "cascades a view from audience"
    - "do cascades recur"
    - "can cascades be predicted"
    - "novelty and collective attention"

Connected through hyperedge HE-6 (induced by source paper "characterizing the public perception of whatsapp through the lens of media"):
  with members:
    - "a study of whatsapp usage patterns and prediction models without message content"
    - "fake news as we feel it perception and conceptualization of the term fake news in the media"
    - "empath understanding topic signals in large scale text"

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)