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: "an investigation into the use of common libraries in android apps"
  Abstract: The packaging model of Android apps requires the entire code necessary for the execution of an app to be shipped into one single apk file. Thus, an analysis of Android apps often visits code which is not part of the functionality delivered by the app. Such code is often contributed by the common libraries which are used pervasively by all apps. Unfortunately, Android analyses, e.g., for piggybacking detection and malware detection, can produce inaccurate results if they do not take into account the case of library code, which constitute noise in app features. Despite some efforts on investigating Android libraries, the momentum of Android research has not yet produced a complete set of common libraries to further support in-depth analysis of Android apps. In this paper, we leverage a dataset of about 1.5 million apps from Google Play to harvest potential common libraries, including advertisement libraries. With several steps of refinements, we finally collect by far the largest set of 1,113 libraries supporting common functionalities and 240 libraries for advertisement. We use the dataset to investigates several aspects of Android libraries, including their popularity and their proportion in Android app code. Based on these datasets, we have further performed several empirical investigations to confirm the motivations behind our work.

Connected through hyperedge HE-1 (induced by source paper "interactive effort aware library version harmonization"):
  with members:
    - "small world with high risks a study of security threats in the npm ecosystem"
    - "on the evolution of technical lag in the npm package dependency network"
    - "why and how java developers break apis"
    - "beyond metadata code centric and usage based analysis of known vulnerabilities in open source software"
    - "an empirical comparison of dependency network evolution in seven software packaging ecosystems"
    - "thou shalt not depend on me analysing the use of outdated javascript libraries on the web"
    - "an empirical study on the impact of refactoring activities on evolving client used apis"
    - "impact assessment for vulnerabilities in open source software libraries"

Connected through hyperedge HE-2 (induced by source paper "an empirical study of usages updates and risks of third party libraries in java projects"):
  with members:
    - "on the evolution of technical lag in the npm package dependency network"
    - "debloating software through piece wise compilation and loading"
    - "beyond metadata code centric and usage based analysis of known vulnerabilities in open source software"
    - "thou shalt not depend on me analysing the use of outdated javascript libraries on the web"
    - "an empirical study on the impact of refactoring activities on evolving client used apis"
    - "impact assessment for vulnerabilities in open source software libraries"
    - "adsplit separating smartphone advertising from applications"

Connected through hyperedge HE-3 (induced by source paper "maddroid characterising and detecting devious ad content for android apps"):
  with members:
    - "eight years of rider measurement in the android malware ecosystem evolution and lessons learned"
    - "yolov3 an incremental improvement"
    - "beyond google play a large scale comparative study of chinese android app markets"
    - "dating with scambots understanding the ecosystem of fraudulent dating applications"
    - "androzoo collecting millions of android apps and their metadata for the research community"
    - "frauddroid automated ad fraud detection for android apps"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-4 (induced by source paper "hidden in plain sight obfuscated strings threatening your privacy"):
  with members:
    - "understanding android obfuscation techniques a large scale investigation in the wild"
    - "a large scale investigation of obfuscation use in google play"
    - "mamadroid detecting android malware by building markov chains of behavioral models"

Connected through hyperedge HE-5 (induced by source paper "an analysis of pre installed android software"):
  with members:
    - "beyond google play a large scale comparative study of chinese android app markets"
    - "haystack a multi purpose mobile vantage point in user space"

Connected through hyperedge HE-6 (induced by source paper "eight years of rider measurement in the android malware ecosystem evolution and lessons learned"):
  with members:
    - "tesseract eliminating experimental bias in malware classification across space and time"
    - "beyond google play a large scale comparative study of chinese android app markets"
    - "a large scale investigation of obfuscation use in google play"
    - "mamadroid detecting android malware by building markov chains of behavioral models"
    - "reviewer integration and performance measurement for malware detection"

Connected through hyperedge HE-7 (induced by source paper "beyond google play a large scale comparative study of chinese android app markets"):
  with members:
    - "dating with scambots understanding the ecosystem of fraudulent dating applications"
    - "androzoo collecting millions of android apps and their metadata for the research community"
    - "frauddroid automated ad fraud detection for android apps"
    - "demo recon revealing and controlling pii leaks in mobile network traffic"
    - "andlantis large scale android dynamic analysis"

Connected through hyperedge HE-8 (induced by source paper "rebooting research on detecting repackaged android apps literature review and benchmark"):
  with members:
    - "androzoo collecting millions of android apps and their metadata for the research community"
    - "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair"
    - "droidanalytics a signature based analytic system to collect extract analyze and associate android malware"

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.SE(Software Engineering)