Extracting a Graph Model by Mapping Two Heterogeneous Graphs

With the development of wireless communications, several studies have been performed on Location based Services due to their numerous applications. Amongst those recommendations, Travel Planning and Recommendations are few of the active topics. When it comes to movement patterns and mobility, human beings are restricted in motion due to social, financial and geographical constraints. Using check-in data from a former location based social network namely Gowalla and airport flights and route data from openflights.org, authors aim to extract a graph model from time series data of user check-ins. In this study, authors have identified patterns of location (latitude, longitude) visits using directed weighted graph. In addition to it, we have mapped airports to identified maps using latitude, longitude and used routes. This has helped to identify nearest airport routes probably used by Gowalla users. Hence, by mapping two heterogeneous graphs i.e. the Gowalla check-in data and openflights.org airport and flights data, we have tried to extract the most commonly used airport routes travelled by Gowalla users.