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Unveiling mobility complexity through complex network analysis., , , , and . Social Netw. Analys. Mining, 6 (1): 59:1-59:21 (2016)NDlib: a python library to model and analyze diffusion processes over complex networks., , , , , and . Int. J. Data Sci. Anal., 5 (1): 61-79 (2018)Exploring Real Mobility Data with M-Atlas., , , , , , , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 624-627. Springer, (2010)NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks., , and . WWW (Companion Volume), page 183-186. ACM, (2018)From movement tracks through events to places: Extracting and characterizing significant places from mobility data., , , , and . IEEE VAST, page 161-170. IEEE Computer Society, (2011)Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic., , and . ISPRS Int. J. Geo-Information, 4 (2): 591-606 (2015)How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science., , , , , , , , , and 9 other author(s). A Comprehensive Guide Through the Italian Database Research, volume 31 of Studies in Big Data, Springer International Publishing, (2018)Optimal Spatial Resolution for the Analysis of Human Mobility., , , and . ASONAM, page 248-252. IEEE Computer Society, (2012)Who/Where Are My New Customers?, and . ISMIS Industrial Session, volume 369 of Studies in Computational Intelligence, page 307-317. Springer, (2011)Visually driven analysis of movement data by progressive clustering., , , , , and . Information Visualization, 7 (3-4): 225-239 (2008)