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Lecture Notes in Computer Science
Mining and analyzing large web and social networks are challenging tasks in terms of storage and information access. In order to address this problem, several works have proposed compressing large graphs allowing neighbor access over their compressed representations. In this paper, we propose a novel compressed structure aiming to reduce storage and support efficient navigation over web and social graph compressed representations. Our approach uses clustering and mining for finding densedoi:10.1007/978-3-642-34109-0_28 fatcat:ed225avlxjbqtk73pqbhb2pu3q