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: "adscape harvesting and analyzing online display ads"
  Abstract: Over the past decade, advertising has emerged as the primary source of revenue for many web sites and apps. In this paper we report a first-of-its-kind study that seeks to broadly understand the features, mechanisms and dynamics of display advertising on the web - i.e., the Adscape. Our study takes the perspective of users who are the targets of display ads shown on web sites. We develop a scalable crawling capability that enables us to gather the details of display ads including creatives and landing pages. Our crawling strategy is focused on maximizing the number of unique ads harvested. Of critical importance to our study is the recognition that a user's profile (i.e. browser profile and cookies) can have a significant impact on which ads are shown. We deploy our crawler over a variety of websites and profiles and this yields over 175K distinct display ads. #R##N#We find that while targeting is widely used, there remain many instances in which delivered ads do not depend on user profile; further, ads vary more over user profiles than over websites. We also assess the population of advertisers seen and identify over 3.7K distinct entities from a variety of business segments. Finally, we find that when targeting is used, the specific types of ads delivered generally correspond with the details of user profiles, and also on users' patterns of visit.

Connected through hyperedge HE-1 (induced by source paper "measuring abuse in web push advertising"):
  with members:
    - "master of web puppets abusing web browsers for persistent and stealthy computation"
    - "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "ad blocking a study on performance privacy and counter measures"
    - "dial one for scam a large scale analysis of technical support scams"

Connected through hyperedge HE-2 (induced by source paper "towards understanding the information ecosystem through the lens of multiple web communities"):
  with members:
    - "characterizing the use of images by state sponsored troll accounts on twitter"
    - "characterizing the use of images in state sponsored information warfare operations by russian trolls on twitter"
    - "what is gab a bastion of free speech or an alt right echo chamber"
    - "a quantitative approach to understanding online antisemitism"
    - "who let the trolls out towards understanding state sponsored trolls"
    - "disinformation warfare understanding state sponsored trolls on twitter and their influence on the web"
    - "mobilizing the trump train understanding collective action in a political trolling community"
    - "false information on web and social media a survey"

Connected through hyperedge HE-3 (induced by source paper "beyond content analysis detecting targeted ads via distributed counting"):
  with members:
    - "on microtargeting socially divisive ads a case study of russia linked ad campaigns on facebook"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "myadchoices bringing transparency and control to online advertising"
    - "building a rappor with the unknown privacy preserving learning of associations and data dictionaries"
    - "efficient private statistics with succinct sketches"
    - "i always feel like somebody s watching me measuring online behavioural advertising"
    - "automated experiments on ad privacy settings a tale of opacity choice and discrimination"
    - "xray enhancing the web s transparency with differential correlation"

Connected through hyperedge HE-4 (induced by source paper "4 years of eu cookie law results and lessons learned"):
  with members:
    - "understanding the detection of view fraud in video content portals"

Connected through hyperedge HE-5 (induced by source paper "understanding web archiving services and their mis use on social media"):
  with members:
    - "consumers and curators browsing and voting patterns on reddit"
    - "hate is not binary studying abusive behavior of gamergate on twitter"
    - "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web"
    - "the dawn of today s popular domains a study of the archived german web over 18 years"
    - "gone in six characters short urls considered harmful for cloud services"
    - "who and what links to the internet archive"
    - "how much of the web is archived"

Connected through hyperedge HE-6 (induced by source paper "tracing information flows between ad exchanges using retargeted ads"):
  with members:
    - "include me out in browser detection of malicious third party content inclusions"
    - "i always feel like somebody s watching me measuring online behavioural advertising"
    - "automated experiments on ad privacy settings a tale of opacity choice and discrimination"
    - "xray enhancing the web s transparency with differential correlation"
    - "information flow control in webkit s javascript bytecode"
    - "social turing tests crowdsourcing sybil detection"

Connected through hyperedge HE-7 (induced by source paper "exploring server side blocking of regions"):
  with members:
    - "fairtest discovering unwarranted associations in data driven applications"
    - "an empirical study of mobile ad targeting"
    - "automated experiments on ad privacy settings a tale of opacity choice and discrimination"
    - "discrimination in online ad delivery"
    - "crowd assisted search for price discrimination in e commerce first results"

Connected through hyperedge HE-8 (induced by source paper "large scale analysis of user exposure to online advertising in facebook"):
  with members:
    - "myadchoices bringing transparency and control to online advertising"
    - "i always feel like somebody s watching me measuring online behavioural advertising"
    - "real time bidding for online advertising measurement and analysis"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

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.CY(Computers and Society)