Collective churn prediction in social network

• Main Authors: OENTARYO, Richard J., Ee-peng LIM, David LO, ZHU, Feida, PRASETYO, Philips K.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Chat activity; Collective churn prediction method; Collective classification; Interaction record; Network structure; Service provider profitability; Service-based industry; Social factor; Social network; User community; User profile factor; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3177; https://ink.library.smu.edu.sg/context/sis_research/article/4178/viewcontent/Collective_Churn_Prediction_in_Social_Network_2012.pdf
• Institution: Singapore Management University

In service-based industries, churn poses a significant threat to the integrity of the user communities and profitability of the service providers. As such, research on churn prediction methods has been actively pursued, involving either intrinsic, user profile factors or extrinsic, social factors. H...