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: "androzoo collecting millions of android apps and their metadata for the research community"
  Abstract: We present a growing collection of Android apps collected from several sources, including the official Google Play app market and a growing collection of various metadata of those collected apps aiming at facilitating the Android-relevant research works. Our dataset by far has collected over five million apps and over 20 types of metadata such as VirusTotal reports. Our objective of collecting this dataset is to contribute to ongoing research efforts, as well as to enable new potential research topics on Android Apps. By releasing our app and metadata set to the research community, we also aim at encouraging our fellow researchers to engage in reproducible experiments. #R##N#This article will be continuously updated based on the growing apps and metadata collected in the AndroZoo project. If you have specific metadata that you want to collect from AndroZoo and which are not yet provided by far, please let us know. We will thereby prioritise it in our collecting process so as to provide it to our fellow researchers in a short manner.

Connected through hyperedge HE-1 (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"
    - "frauddroid automated ad fraud detection for android apps"
    - "an investigation into the use of common libraries in android apps"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-2 (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"
    - "frauddroid automated ad fraud detection for android apps"
    - "demo recon revealing and controlling pii leaks in mobile network traffic"
    - "an investigation into the use of common libraries in android apps"
    - "andlantis large scale android dynamic analysis"

Connected through hyperedge HE-3 (induced by source paper "rebooting research on detecting repackaged android apps literature review and benchmark"):
  with members:
    - "an investigation into the use of common libraries in android apps"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "frauddroid automated ad fraud detection for android apps"):
  with members:
    - "mining android app usages for generating actionable gui based execution scenarios"
    - "an investigation into the use of common libraries in android apps"
    - "automated test input generation for android are we there yet"

Connected through hyperedge HE-5 (induced by source paper "androvault constructing knowledge graph from millions of android apps for automated analysis"):
  with members:
    - "contextual weisfeiler lehman graph kernel for malware detection"
    - "mamadroid detecting android malware by building markov chains of behavioral models"

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)