I plotted an extract of geolocalised tweets taken from a data flow recorded over the city of Madrid, Spain, during year 2013. Each color is related to a single user activity. The pattern is associated with users' movements over the time frame of the data. Data courtesy from IFISC.
This work shows a complex view of the German Railway Timetable Network, defined by considering stations as nodes and train paths as edges. The number of trains running in a day on every path has been added to the corresponding edge. The thickness of every directional edge is directly proportional to the number of trains scheduled in a day between every pairs of stations. Moreover, the bigger the name of the station is, the higher number of trains are running to and from it (representing the so called "Strength" of a node).