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: "studying migrant assimilation through facebook interests"
  Abstract: Migrants' assimilation is a major challenge for European societies, in part because of the sudden surge of refugees in recent years and in part because of long-term demographic trends. In this paper, we use Facebook's data for advertisers to study the levels of assimilation of Arabic-speaking migrants in Germany, as seen through the interests they express online. Our results indicate a gradient of assimilation along demographic lines, language spoken and country of origin. Given the difficulty to collect timely migration data, in particular for traits related to cultural assimilation, the methods that we develop and the results that we provide open new lines of research that computational social scientists are well-positioned to address.

Connected through hyperedge HE-1 (induced by source paper "facebook ads as a demographic tool to measure the urban rural divide"):
  with members:
    - "human values and attitudes towards vaccination in social media"
    - "analyzing gender inequality through large scale facebook advertising data"
    - "predicting demographics moral foundations and human values from digital behaviours"
    - "parents mention sons more often than daughters on social media"
    - "effect of values and technology use on exercise implications for personalized behavior change interventions"
    - "demographic differentials in facebook usage around the world"
    - "a total error framework for digital traces of humans"
    - "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"

Connected through hyperedge HE-2 (induced by source paper "assessing refugees integration via spatio temporal similarities of mobility and calling behaviors"):
  with members:
    - "detecting permanent and intermittent purchase hotspots via computational stigmergy"
    - "data for refugees the d4r challenge on mobility of syrian refugees in turkey"
    - "a stigmergy based analysis of city hotspots to discover trends and anomalies in urban transportation usage"
    - "spatio temporal data mining a survey of problems and methods"
    - "stigmergy based modeling to discover urban activity patterns from positioning data"
    - "crisis analytics big data driven crisis response"
    - "mobile communication signatures of unemployment"
    - "an analytical framework to nowcast well being using mobile phone data"

Connected through hyperedge HE-3 (induced by source paper "analyzing gender inequality through large scale facebook advertising data"):
  with members:
    - "professional gender gaps across us cities"
    - "facebook use of sensitive data for advertising in europe"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
    - "fertility and its meaning evidence from search behavior"
    - "women through the glass ceiling gender asymmetries in wikipedia"
    - "evolution of privacy loss in wikipedia"
    - "gender asymmetries in reality and fiction the bechdel test of social media"

Connected through hyperedge HE-4 (induced by source paper "predicting demographics moral foundations and human values from digital behaviours"):
  with members:
    - "acquiring background knowledge to improve moral value prediction"
    - "how well can machine learning predict demographics of social media users"
    - "stereotyping and bias in the flickr30k dataset"
    - "you are what apps you use demographic prediction based on user s apps"
    - "a survey on measuring indirect discrimination in machine learning"
    - "using deep learning to predict demographics from mobile phone metadata"
    - "fairness through awareness"

Connected through hyperedge HE-5 (induced by source paper "evaluation of biases in self reported demographic and psychometric information traditional versus facebook based surveys"):
  with members:
    - "predicting demographics moral foundations and human values from digital behaviours"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
    - "geo located twitter as proxy for global mobility patterns"
    - "processing social media messages in mass emergency a survey"
    - "big questions for social media big data representativeness validity and other methodological pitfalls"

Connected through hyperedge HE-6 (induced by source paper "rock rap or reggaeton assessing mexican immigrants cultural assimilation using facebook data"):
  with members:
    - "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
    - "understanding musical diversity via online social media"

Connected through hyperedge HE-7 (induced by source paper "demographic differentials in facebook usage around the world"):
  with members:
    - "analyzing gender inequality through large scale facebook advertising data"

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.SI(Social and Information Networks)