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: "data portraits connecting people of opposing views"
  Abstract: ABSTRACT Social networks allow people to connect with each otherand have conversations on a wide variety of topics. How-ever, users tend to connect with like-minded people and readagreeable information, a behavior that leads to group polar-ization. Motivated by this scenario, we study how to takeadvantage of partial homophily to suggest agreeable contentto users authored by people with opposite views on sensitiveissues. We introduce a paradigm to present a data portraitof users, in which their characterizing topics are visualizedand their corresponding tweets are displayed using an or-ganic design. Among their tweets we inject recommendedtweets from other people considering their views on sensitiveissues in addition to topical relevance, indirectly motivatingconnections between dissimilar people. To evaluate our ap-proach, we present a case study on Twitter about a sensitivetopic in Chile, where we estimate user stances for regularpeople and nd intermediary topics. We then evaluated ourdesign in a user study. We found that recommending topi-cally relevant content from authors with opposite views in abaseline interface had a negative emotional e ect. We sawthat our organic visualization design reverts that e ect. Wealso observed signi cant individual di erences linked to eval-uation of recommendations. Our results suggest that organicvisualization may revert the negative e ects of providingpotentially sensitive content.

Connected through hyperedge HE-1 (induced by source paper "language in our time an empirical analysis of hashtags"):
  with members:
    - "network embedding as matrix factorization unifying deepwalk line pte and node2vec"
    - "tagvisor a privacy advisor for sharing hashtags"
    - "hierarchical graph representation learning with differentiable pooling"
    - "you are your metadata identification and obfuscation of social media users using metadata information"
    - "analyzing the digital traces of political manipulation the 2016 russian interference twitter campaign"
    - "ml leaks model and data independent membership inference attacks and defenses on machine learning models"
    - "twitter for sparking a movement reddit for sharing the moment metoo through the lens of social media"
    - "is saki delicious the food perception gap on instagram and its relation to health"

Connected through hyperedge HE-2 (induced by source paper "quantifying biases in online information exposure"):
  with members:
    - "rating effects on social news posts and comments"
    - "hoaxy a platform for tracking online misinformation"
    - "the rise of social bots"
    - "measuring online social bubbles"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-3 (induced by source paper "factors in recommending contrarian content on social media"):
  with members:
    - "the ebb and flow of controversial debates on social media"
    - "a long term analysis of polarization on twitter"
    - "reducing controversy by connecting opposing views"
    - "quantifying controversy in social media"

Connected through hyperedge HE-4 (induced by source paper "exposing twitter users to contrarian news"):
  with members:
    - "reducing controversy by connecting opposing views"
    - "exploring controversy in twitter"
    - "quantifying controversy in social media"
    - "controversy and sentiment in online news"

Connected through hyperedge HE-5 (induced by source paper "reducing controversy by connecting opposing views"):
  with members:
    - "edge modification criteria for enhancing the communicability of digraphs"
    - "echo chambers in the age of misinformation"
    - "quantifying controversy in social media"
    - "controversy and sentiment in online news"
    - "updating and downdating techniques for optimizing network communicability"
    - "optimal aggregation algorithms for middleware"

Connected through hyperedge HE-6 (induced by source paper "data portraits and intermediary topics encouraging exploration of politically diverse profiles"):
  with members:
    - "encouraging diversity and representation awareness in geographically centralized content"
    - "finding intermediary topics between people of opposing views a case study"

Connected through hyperedge HE-7 (induced by source paper "quantifying controversy in social media"):
  with members:
    - "characterizing information diets of social media users"
    - "controversy and sentiment in online news"
    - "partisan sharing facebook evidence and societal consequences"
    - "social determinants of content selection in the age of mis information"
    - "efficient community detection in large networks using content and links"
    - "modularity clustering is force directed layout"

Connected through hyperedge HE-8 (induced by source paper "measuring online social bubbles"):
  with members:
    - "events and controversies influences of a shocking news event on information seeking"
    - "the role of social networks in information diffusion"
    - "partisan asymmetries in online political activity"
    - "topical interests and the mitigation of search engine bias"

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.HC(Human-Computer Interaction)