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: "cookie synchronization everything you always wanted to know but were afraid to ask"
  Abstract: User data is the primary input of digital advertising, fueling the free Internet as we know it. As a result, web companies invest a lot in elaborate tracking mechanisms to acquire user data that can sell to data markets and advertisers. However, with same-origin policy and cookies as a primary identification mechanism on the web, each tracker knows the same user with a different ID. To mitigate this, Cookie Synchronization (CSync) came to the rescue, facilitating an information sharing channel between 3rd-parties that may or not have direct access to the website the user visits. In the background, with CSync, they merge user data they own, but also reconstruct a user's browsing history, bypassing the same origin policy.    In this paper, we perform a first to our knowledge in-depth study of CSync in the wild, using a year-long weblog from 850 real mobile users. Through our study, we aim to understand the characteristics of the CSync protocol and the impact it has on web users' privacy. For this, we design and implement CONRAD, a holistic mechanism to detect CSync events at real time, and the privacy loss on the user side, even when the synced IDs are obfuscated. Using CONRAD, we find that 97% of the regular web users are exposed to CSync: most of them within the first week of their browsing, and the median userID gets leaked, on average, to 3.5 different domains. Finally, we see that CSync increases the number of domains that track the user by a factor of 6.75.

Connected through hyperedge HE-1 (induced by source paper "stop tracking me bro differential tracking of user demographics on hyper partisan websites"):
  with members:
    - "characterising third party cookie usage in the eu after gdpr"
    - "tweeting mps digital engagement between citizens and members of parliament in the uk"
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "talon an automated framework for cross device tracking detection"
    - "illuminating an ecosystem of partisan websites"
    - "whotracks me shedding light on the opaque world of online tracking"
    - "targeted advertising based on browsing history"

Connected through hyperedge HE-2 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls"):
  with members:
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "speedreader reader mode made fast and private"
    - "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking"
    - "truth in web mining measuring the profitability and cost of cryptominers as a web monetization model"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"

Connected through hyperedge HE-3 (induced by source paper "missed by filter lists detecting unknown third party trackers with invisible pixels"):
  with members:
    - "tracing information flows between ad exchanges using retargeted ads"
    - "invisible pixels are dead long live invisible pixels"
    - "thou shalt not depend on me analysing the use of outdated javascript libraries on the web"

Connected through hyperedge HE-4 (induced by source paper "actions speak louder than words semi supervised learning for browser fingerprinting detection"):
  with members:
    - "missed by filter lists detecting unknown third party trackers with invisible pixels"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "include me out in browser detection of malicious third party content inclusions"

Connected through hyperedge HE-5 (induced by source paper "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"):
  with members:
    - "beyond content analysis detecting targeted ads via distributed counting"
    - "measuring ad value without bankrupting user privacy"
    - "optimization of a ssp s header bidding strategy using thompson sampling"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "a long way to the top significance structure and stability of internet top lists"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"
    - "money walks a human centric study on the economics of personal mobile data"
    - "your browsing behavior for a big mac economics of personal information online"

Connected through hyperedge HE-6 (induced by source paper "do cookie banners respect my choice measuring legal compliance of banners from iab europe s transparency and consent framework"):
  with members:
    - "dark patterns after the gdpr scraping consent pop ups and demonstrating their influence"
    - "un informed consent studying gdpr consent notices in the field"
    - "4 years of eu cookie law results and lessons learned"
    - "tranco a research oriented top sites ranking hardened against manipulation"
    - "we value your privacy now take some cookies measuring the gdpr s impact on web privacy"
    - "exposing the hidden web an analysis of third party http requests on 1 million websites"

Connected through hyperedge HE-7 (induced by source paper "another brick in the paywall the popularity and privacy implications of paywalls"):
  with members:
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "speedreader reader mode made fast and private"
    - "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking"
    - "truth in web mining measuring the profitability and cost of cryptominers as a web monetization model"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"

Connected through hyperedge HE-8 (induced by source paper "inferring tracker advertiser relationships in the online advertising ecosystem using header bidding"):
  with members:
    - "tracking the pixels detecting web trackers via analyzing invisible pixels"
    - "no more chasing waterfalls a measurement study of the header bidding ad ecosystem"
    - "tracing information flows between ad exchanges using retargeted ads"
    - "tracking the trackers towards understanding the mobile advertising and tracking ecosystem"
    - "your browsing behavior for a big mac economics of personal information online"

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.IR(Information Retrieval)