human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "fusing visual textual and connectivity clues for studying mental health"):
  Abstract: With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles with mental health issues voluntarily and publicly on social media. Unlike the most existing efforts which study depression by analyzing textual content, we examine and exploit multimodal big data to discern depressive behavior using a wide variety of features including individual-level demographics. By developing a multimodal framework and employing statistical techniques for fusing heterogeneous sets of features obtained by processing visual, textual and user interaction data, we significantly enhance the current state-of-the-art approaches for identifying depressed individuals on Twitter (improving the average F1-Score by 5 percent) as well as facilitate demographic inference from social media for broader applications. Besides providing insights into the relationship between demographics and mental health, our research assists in the design of a new breed of demographic-aware health interventions.

Includes members:
  Member "multimodal classification for analysing social media":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "emotion recognition using fusion of audio and video features")
  Member "mining online social data for detecting social network mental disorders":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient algorithms towards network intervention")
  Member "depression and self harm risk assessment in online forums":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "finding your voice the linguistic development of mental health counselors")
  Member "semi supervised approach to monitoring clinical depressive symptoms in social media":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "predictive analysis on twitter techniques and applications")
  Member "instagram photos reveal predictive markers of depression":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "see and read detecting depression symptoms in higher education students using multimodal social media data")
  Member "xgboost a scalable tree boosting system":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "monotonic cardinality estimation of similarity selection a deep learning approach")
  Member "identifying depression on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences")
  Member "social media image analysis for public health":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "what twitter profile and posted images reveal about depression and anxiety")

Question: Please tell me which class the source paper 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)