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: "the tower of babel meets web 2 0 user generated content and its applications in a multilingual context"
  Abstract: This study explores language's fragmenting effect on user-generated content by examining the diversity of knowledge representations across 25 different Wikipedia language editions. This diversity is measured at two levels: the concepts that are included in each edition and the ways in which these concepts are described. We demonstrate that the diversity present is greater than has been presumed in the literature and has a significant influence on applications that use Wikipedia as a source of world knowledge. We close by explicating how knowledge diversity can be beneficially leveraged to create "culturally-aware applications" and "hyperlingual applications".

Connected through hyperedge HE-1 (induced by source paper "measuring the importance of user generated content to search engines"):
  with members:
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "botornot a system to evaluate social bots"
    - "wikireading a novel large scale language understanding task over wikipedia"
    - "not at home on the range peer production and the urban rural divide"
    - "it s a man s wikipedia assessing gender inequality in an online encyclopedia"
    - "query chains learning to rank from implicit feedback"

Connected through hyperedge HE-2 (induced by source paper "wikipedia cultural diversity dataset a complete cartography for 300 language editions"):
  with members:
    - "why the world reads wikipedia beyond english speakers"
    - "understanding editing behaviors in multilingual wikipedia"
    - "multilinguals and wikipedia editing"
    - "notes on noise contrastive estimation and negative sampling"
    - "wikipedia based semantic interpretation for natural language processing"

Connected through hyperedge HE-3 (induced by source paper "global reactions to the cambridge analytica scandal a cross language social media study"):
  with members:
    - "online human bot interactions detection estimation and characterization"
    - "botornot a system to evaluate social bots"

Connected through hyperedge HE-4 (induced by source paper "world literature according to wikipedia introduction to a dbpedia based framework"):
  with members:
    - "cultural anthropology through the lens of wikipedia a comparison of historical leadership networks in the english chinese japanese and german wikipedia"
    - "mining cross cultural relations from wikipedia a study of 31 european food cultures"
    - "bots vs wikipedians anons vs logged ins"
    - "biographical social networks on wikipedia a cross cultural study of links that made history"
    - "mining meaning from wikipedia"

Connected through hyperedge HE-5 (induced by source paper "the geography of pokemon go beneficial and problematic effects on places and movement"):
  with members:
    - "not at home on the range peer production and the urban rural divide"
    - "who benefits from the sharing economy of airbnb"
    - "cross language wikipedia editing of okinawa japan"

Connected through hyperedge HE-6 (induced by source paper "foreign language reviews help or hindrance"):
  with members:
    - "user reviews and language how language influences ratings"
    - "multilinguals and wikipedia editing"

Connected through hyperedge HE-7 (induced by source paper "understanding editing behaviors in multilingual wikipedia"):
  with members:
    - "cross language wikipedia editing of okinawa japan"
    - "multilinguals and wikipedia editing"
    - "a practical approach to language complexity a wikipedia case study"
    - "ranking of wikipedia articles in search engines revisited fair ranking for reasonable quality"

Connected through hyperedge HE-8 (induced by source paper "mapping an audience centric world wide web a departure from hyperlink analysis"):
  with members:
    - "how do global audiences take shape the role of institutions and culture in patterns of web use"
    - "does the great firewall really isolate the chinese integrating access blockage with cultural factors to explain web user behavior"
    - "how web 1 0 fails the mismatch between hyperlinks and clickstreams"

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.CL(Computation and Language)