Abstract Complex networks, which constitute the main subject of network science, have been wide and extensively adopted for representing, characterizing, modeling an ample range structures phenomena from both theoretical applied perspectives. The present work describes application real-valued Jaccard coincidence similarity indices translating generic datasets into networks. More specifically, t...