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: "rating effects on social news posts and comments"
  Abstract: At a time when information seekers first turn to digital sources for news and opinion, it is critical that we understand the role that social media plays in human behavior. This is especially true when information consumers also act as information producers and editors through their online activity. In order to better understand the effects that editorial ratings have on online human behavior, we report the results of a two large-scale in-vivo experiments in social media. We find that small, random rating manipulations on social media posts and comments created significant changes in downstream ratings resulting in significantly different final outcomes. We found positive herding effects for positive treatments on posts, increasing the final rating by 11.02% on average, but not for positive treatments on comments. Contrary to the results of related work, we found negative herding effects for negative treatments on posts and comments, decreasing the final ratings on average, of posts by 5.15% and of comments by 37.4%. Compared to the control group, the probability of reaching a high rating (>=2000) for posts is increased by 24.6% when posts receive the positive treatment and for comments is decreased by 46.6% when comments receive the negative treatment.

Connected through hyperedge HE-1 (induced by source paper "characterizing behavioral trends in a community driven discussion platform"):
  with members:
    - "analyzing behavioral trends in community driven discussion platforms like reddit"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "consumers and curators browsing and voting patterns on reddit"
    - "predicting user interactions on reddit"
    - "popularity and quality in social news aggregators a study of reddit and hacker news"
    - "controversy and sentiment in online news"
    - "evolution of reddit from the front page of the internet to a self referential community"

Connected through hyperedge HE-2 (induced by source paper "modelling online comment threads from their start"):
  with members:
    - "modelling structure and predicting dynamics of discussion threads in online boards"
    - "network embedding as matrix factorization unifying deepwalk line pte and node2vec"
    - "guessthekarma a game to assess social rating systems"
    - "deep reinforcement learning with a combinatorial action space for predicting and tracking popular discussion threads"
    - "deep reinforcement learning with a combinatorial action space for predicting popular reddit threads"
    - "tideh time dependent hawkes process for predicting retweet dynamics"
    - "node2vec scalable feature learning for networks"
    - "seismic a self exciting point process model for predicting tweet popularity"

Connected through hyperedge HE-3 (induced by source paper "quantifying voter biases in online platforms an instrumental variable approach"):
  with members:
    - "quantifying the impact of cognitive biases in question answering systems"
    - "the size conundrum why online knowledge markets can fail at scale"
    - "guessthekarma a game to assess social rating systems"
    - "when sheep shop measuring herding effects in product ratings with natural experiments"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "consumers and curators browsing and voting patterns on reddit"
    - "unbiased learning to rank with biased feedback"
    - "sequential voting promotes collective discovery in social recommendation systems"

Connected through hyperedge HE-4 (induced by source paper "propagation from deceptive news sources who shares how much how evenly and how quickly"):
  with members:
    - "the spread of low credibility content by social bots"
    - "contagion dynamics of extremist propaganda in social networks"
    - "the spread of fake news by social bots"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "the rise of social bots"
    - "quantifying the effect of sentiment on information diffusion in social media"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"

Connected through hyperedge HE-5 (induced by source paper "guessthekarma a game to assess social rating systems"):
  with members:
    - "consumers and curators browsing and voting patterns on reddit"
    - "sequential voting promotes collective discovery in social recommendation systems"
    - "the myopia of crowds a study of collective evaluation on stack exchange"
    - "the effect of wording on message propagation topic and author controlled natural experiments on twitter"
    - "crowdsourced judgement elicitation with endogenous proficiency"

Connected through hyperedge HE-6 (induced by source paper "quantifying biases in online information exposure"):
  with members:
    - "hoaxy a platform for tracking online misinformation"
    - "the rise of social bots"
    - "measuring online social bubbles"
    - "data portraits connecting people of opposing views"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-7 (induced by source paper "analyzing behavioral trends in community driven discussion platforms like reddit"):
  with members:
    - "consumers and curators browsing and voting patterns on reddit"
    - "predicting user interactions on reddit"
    - "popularity and quality in social news aggregators a study of reddit and hacker news"
    - "evolution of reddit from the front page of the internet to a self referential community"

Connected through hyperedge HE-8 (induced by source paper "when sheep shop measuring herding effects in product ratings with natural experiments"):
  with members:
    - "learning attitudes and attributes from multi aspect reviews"

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)