Part I: Network measures -- A comparison of approaches to computing betweenness centrality for large graphs -- Cycle-centrality in economic and biological networks -- A game theoretic neighbourhood-based relevance index -- The impact of partially missing communities on the reliability of centrality measures -- Consistent estimation of mixed memberships with successive projections -- Reducing pivots of approximated betweenness computation by hierarchically clustering complex networks -- Power network equivalents: a network science based k-means clustering method integrated with silhouette analysis -- Part II: Link Analysis and Ranking -- Newton’s gravitational law for link prediction in social networks -- Efficient outlier detection in hyperedge streams using minHash and locality-sensitive hashing -- Layer-wise model stacking for link prediction in multilayer networks. Case of scientific collaboration networks -- Evolutionary community mining for link prediction in dynamic networks -- Rank aggregation for course sequence discovery -- Part III: Community Structure -- Community-based feature selection for credit card default prediction -- Tracking bitcoin users activity using community detection on a network of weak signals.