Social network analysis for churn prediction

摘要

Traditional methods of prediction of the likelihood of churning in a given market such as wireless telecommunications are improved by inclusion of social network analysis to predict churning by members of a population in response to churning by any given individual member of that population. A sphere of influence of individual members of the population on other members of the population are modeled and analyzed through a plurality of degrees of separation and quantitatively evaluated by a number of relational algebraic joins in which at least one such join includes weights to assert a diminishing influence with number of degrees of separation.

主权项

1. A method of predicting churning in a population, said method comprising steps of
counting interactions between respective members of said population, determining chains of said interactions, said chains of interactions having stages corresponding to individual members of said population, said stages in a chain being limited to a predetermined number of stages, applying different weights to said number of interactions for respective stages of said chains as determined in a limited number of relational algebra join operations corresponding to said predetermined number of stages of said interactions to produce weighted numbers of said interactions, and summing said weighted numbers of interactions along said chains of interactions.