Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region

نویسندگان

  • Hao Fu
  • Xing Xie
  • Yong Rui
  • Defu Lian
  • Guangzhong Sun
  • Enhong Chen
چکیده

Social status refers to the relative position within the society. It is an important notion in sociology and related research. The problem of measuring social status has been studied for many years. Various indicators are proposed to assess social status of individuals, including educational attainment, occupation, and income/wealth. However, these indicators are sometimes difficult to collect or measure. We investigate social networks for alternative measures of social status. Online activities expose certain traits of users in the real world. We are interested in how these activities are related to social status, and how social status can be predicted with social network data. To the best of our knowledge, this is the first study on connecting online activities with social

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عنوان ژورنال:
  • CoRR

دوره abs/1604.02694  شماره 

صفحات  -

تاریخ انتشار 2016