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: "evaluating socio economic state of a country analyzing airtime credit and mobile phone datasets"
  Abstract: Reliable statistical information is important to make political decisions on a sound basis and to help measure the impact of policies. Unfortunately, statistics offices in developing countries have scarce resources and statistical censuses are therefore conducted sporadically. Based on mobile phone communications and history of airtime credit purchases, we estimate the relative income of individuals, the diversity and inequality of income, and an indicator for socioeconomic segregation for fine-grained regions of an African country. Our study shows how to use mobile phone datasets as a starting point to understand the socio-economic state of a country, which can be especially useful in countries with few resources to conduct large surveys.

Connected through hyperedge HE-1 (induced by source paper "mobile phone metadata for development"):
  with members:
    - "d4d senegal the second mobile phone data for development challenge"

Connected through hyperedge HE-2 (induced by source paper "an analytical framework to nowcast well being using mobile phone data"):
  with members:
    - "harnessing mobile phone social network topology to infer users demographic attributes"
    - "estimating food consumption and poverty indices with mobile phone data"
    - "a planetary nervous system for social mining and collective awareness"
    - "how to create an innovation accelerator"
    - "four degrees of separation"

Connected through hyperedge HE-3 (induced by source paper "estimating individual employment status using mobile phone network data"):
  with members:
    - "mobile communication signatures of unemployment"
    - "using deep learning to predict demographics from mobile phone metadata"
    - "tracking employment shocks using mobile phone data"

Connected through hyperedge HE-4 (induced by source paper "can mobile usage predict illiteracy in a developing country"):
  with members:
    - "estimating food consumption and poverty indices with mobile phone data"

Connected through hyperedge HE-5 (induced by source paper "inference of demographic attributes based on mobile phone usage patterns and social network topology"):
  with members:
    - "a study of age and gender seen through mobile phone usage patterns in mexico"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-6 (induced by source paper "estimating food consumption and poverty indices with mobile phone data"):
  with members:
    - "d4d senegal the second mobile phone data for development challenge"
    - "exploiting cellular data for disease containment and information campaigns strategies in country wide epidemics"

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.CY(Computers and Society)