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: "popularity and quality in social news aggregators a study of reddit and hacker news"
  Abstract: In this paper we seek to understand the relationship between the online popularity of an article and its intrinsic quality. Prior experimental work suggests that the relationship between quality and popularity can be very distorted due to factors like social influence bias and inequality in visibility. We conduct a study of popularity on two different social news aggregators, Reddit and Hacker News. We define quality as the relative number of votes an article would have received if each article was shown, in a bias-free way, to an equal number of users. We propose a simple poisson regression method to estimate this quality metric from time-series voting data. We validate our methods on data from Reddit and Hacker News, as well the experimental data from prior work. This method works well even though the collected data is subject to common social media biases. Using these estimates, we find that popularity on Reddit and Hacker News is a stronger reflection of intrinsic quality than expected.

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"
    - "rating effects on social news posts and comments"
    - "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 "comparison of decentralization in dpos and pow blockchains"):
  with members:
    - "impossibility of full decentralization in permissionless blockchains"
    - "incentivized blockchain based social media platforms a case study of steemit"
    - "decentralization in bitcoin and ethereum networks"
    - "the miner s dilemma"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-3 (induced by source paper "incentivized blockchain based social media platforms a case study of steemit"):
  with members:
    - "a puff of steem security analysis of decentralized content curation"
    - "the anatomy of reddit an overview of academic research"
    - "deep neural networks for bot detection"
    - "consumers and curators browsing and voting patterns on reddit"
    - "science askscience and badscience on the coexistence of highly related communities"
    - "evidence of online performance deterioration in user sessions on reddit"
    - "the rise of social bots"
    - "all who wander on the prevalence and characteristics of multi community engagement"

Connected through hyperedge HE-4 (induced by source paper "predicting and explaining behavioral data with structured feature space decomposition"):
  with members:
    - "can you trust the trend discovering simpson s paradoxes in social data"
    - "the mythos of model interpretability"
    - "the simple rules of social contagion"
    - "what stops social epidemics"
    - "rule based machine learning methods for functional prediction"

Connected through hyperedge HE-5 (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"
    - "rating effects on social news posts and comments"
    - "evolution of reddit from the front page of the internet to a self referential community"

Connected through hyperedge HE-6 (induced by source paper "rating effects on social news posts and comments"):
  with members:
    - "consumers and curators browsing and voting patterns on reddit"
    - "random voting effects in social digital spaces a case study of reddit post submissions"
    - "dominating manipulations in voting with partial information"

Connected through hyperedge HE-7 (induced by source paper "averaging gone wrong using time aware analyses to better understand behavior"):
  with members:
    - "all who wander on the prevalence and characteristics of multi community engagement"

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)