Fig. 3From: Analyzing and inferring human real-life behavior through online social networks with social influence deep learningGlobal-SIDL (G-SIDL). The input layer is composed of two concatenated vectors referred to as target-user ID vector (\(\mathbf {v}_{u_{i}}^{ID}\)) and social network vector (\(\mathbf {v}_{u_{i}}^{SN}\)), respectively. The output \(y_{u_{i},a}\) corresponds to target-user ui, and is equal to 1 if she performed a, and is 0 otherwiseBack to article page