Logistic regression is a widely used method in several fields. When applying logistic to imbalanced data, wherein the majority classes dominate minority classes, all class labels are estimated as “majority class.” In this study, we use an F-measure optimization improve performance of applied data. Although many methods adopt ratio estimators approximate F-measure, tends exhibit more bias than w...

Communication decisions in networks can be described as a two-level decision process. The second decision about event receivers is a multinomial logistic regression model with an unknown vector of parameters. These parameters evaluate network structures that enforce or weaken the probability for choosing certain actors. However, in many cases those parameters may change over time. In this paper...