Possible solution Influence features hand craft features E> predictive model Name Description oneness Pagerank [30 Hub score and authority score [8] Vertex Eigenvector Centrality [5] oo Class +1 Clustering Coefficient [46] Rarity(reciprocal of ego user's degree)[1] Network embedding(DeepWalk [31], 64-dim) The number/ratio of active neighbors [2] Class-1 Ego Density of subnetwork induced by active neighbors [40] edictive #Connected components formed by active neighbors [40] model But defining features is tedious and inefficient10 Possible Solution • Influence features + Hand craft features predictive model + Class -1 Class +1 predictive model But defining features is tedious and inefficient…