Classifying, Measuring, and Predicting Users’ Overall Active Behavior on Social Networking Sites

@article{Chen2014ClassifyingMA,
  title={Classifying, Measuring, and Predicting Users’ Overall Active Behavior on Social Networking Sites},
  author={Aihui Chen and Yaobin Lu and P. Chau and Sumeet Gupta},
  journal={Journal of Management Information Systems},
  year={2014},
  volume={31},
  pages={213 - 253}
}
Abstract Although understanding the role of users’ overall active behavior on a social networking site (SNS) is of significant importance for both theory and practice, the complexity and difficulty involved in measuring such behavior has inhibited research attention. To understand users’ active behaviors on an SNS, it is important that we identify and classify various types of online behaviors before measuring them. In this paper we holistically examine users’ active behaviors on an SNS. Toward… Expand
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