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: "partisan asymmetries in online political activity"
  Abstract: We examine partisan differences in the behavior, communication patterns and social interactions of more than 18,000 politically-active Twitter users to produce evidence that points to changing levels of partisan engagement with the American online political landscape. Analysis of a network defined by the communication activity of these users in proximity to the 2010 midterm congressional elections reveals a highly segregated, well clustered, partisan community structure. Using cluster membership as a high-fidelity (87% accuracy) proxy for political affiliation, we characterize a wide range of differences in the behavior, communication and social connectivity of left- and right-leaning Twitter users. We find that in contrast to the online political dynamics of the 2008 campaign, right-leaning Twitter users exhibit greater levels of political activity, a more tightly interconnected social structure, and a communication network topology that facilitates the rapid and broad dissemination of political information.

Connected through hyperedge HE-1 (induced by source paper "topology comparison of twitter diffusion networks effectively reveals misleading information"):
  with members:
    - "false news on social media a data driven survey"
    - "influence of fake news in twitter during the 2016 us presidential election"
    - "fake news detection on social media using geometric deep learning"
    - "an information theoretic all scales approach to comparing networks"
    - "anatomy of an online misinformation network"
    - "analyzing the digital traces of political manipulation the 2016 russian interference twitter campaign"
    - "the spread of low credibility content by social bots"
    - "validation of twitter opinion trends with national polling aggregates hillary clinton vs donald trump"

Connected through hyperedge HE-2 (induced by source paper "a multi layer approach to disinformation detection on twitter"):
  with members:
    - "investigating italian disinformation spreading on twitter in the context of 2019 european elections"
    - "influence of fake news in twitter during the 2016 us presidential election"
    - "fake news detection on social media using geometric deep learning"
    - "defending against neural fake news"
    - "anatomy of an online misinformation network"
    - "polarization and fake news early warning of potential misinformation targets"
    - "analyzing the digital traces of political manipulation the 2016 russian interference twitter campaign"
    - "the spread of low credibility content by social bots"

Connected through hyperedge HE-3 (induced by source paper "bot electioneering volume visualizing social bot activity during elections"):
  with members:
    - "arming the public with artificial intelligence to counter social bots"
    - "anatomy of an online misinformation network"
    - "the spread of low credibility content by social bots"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "online human bot interactions detection estimation and characterization"
    - "hoaxy a platform for tracking online misinformation"
    - "botornot a system to evaluate social bots"

Connected through hyperedge HE-4 (induced by source paper "on the inevitability of online echo chambers"):
  with members:
    - "quantifying biases in online information exposure"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "limited individual attention and online virality of low quality information"
    - "explaining the emergence of echo chambers on social media the role of ideology and extremism"
    - "measuring online social bubbles"
    - "the role of information diffusion in the evolution of social networks"
    - "happiness is assortative in online social networks"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-5 (induced by source paper "political discussions in homogeneous and cross cutting communication spaces"):
  with members:
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "exploring cyberbullying and other toxic behavior in team competition online games"
    - "partisan sharing facebook evidence and societal consequences"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-6 (induced by source paper "the spread of low credibility content by social bots"):
  with members:
    - "anatomy of an online misinformation network"
    - "detection and resolution of rumours in social media a survey"
    - "quantifying biases in online information exposure"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "fake news detection on social media a data mining perspective"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "early detection of promoted campaigns on social media"
    - "limited individual attention and online virality of low quality information"

Connected through hyperedge HE-7 (induced by source paper "anatomy of an online misinformation network"):
  with members:
    - "the spread of low credibility content by social bots"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "early detection of promoted campaigns on social media"
    - "limited individual attention and online virality of low quality information"
    - "online human bot interactions detection estimation and characterization"
    - "hoaxy a platform for tracking online misinformation"
    - "botornot a system to evaluate social bots"

Connected through hyperedge HE-8 (induced by source paper "validation of twitter opinion trends with national polling aggregates hillary clinton vs donald trump"):
  with members:
    - "online human bot interactions detection estimation and characterization"
    - "deciphering the 2016 u s presidential campaign in the twitter sphere a comparison of the trumpists and clintonists"
    - "the effects of twitter sentiment on stock price returns"
    - "content and network dynamics behind egyptian political polarization on twitter"
    - "is the sample good enough comparing data from twitter s streaming api with twitter s firehose"
    - "a meta analysis of state of the art electoral prediction from twitter data"
    - "twitter mood predicts the stock market"

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)