Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Location sharing social services are popular among mobile users resulting in a huge social dataset available for researchers to explore.   consider location sharing social services’ APIs endpoints as “social sensors” that provide data revealing real world interactions, although in some cases, the number of recorded social data can be several orders of magnitude lor compared to the number of real world interactions. In the presented work  focus on check-ins at airports performing two experiments: one analyzing check-in data collected exclusively from Foursquare and another collecting additionally check-in data from Facebook.  compare the two popular location sharing social platforms’ check-ins and  show that for the case of Foursquare these data can be indicative of the passengers’ traffic, while their number is hundreds of times lor than the number of actual traffic observations.
['John D. Garofalakis', 'Ioannis Georgoulas', 'Andreas Komninos', 'Periklis Ntentopoulos', 'Athanasios Plessas']
I am writing a research paper on a idea Sensing Airports’ Traffic by Mining Location Sharing Social Services
[{"from": "human", "value": "I am writing a research paper on a idea Sensing Airports\u2019 Traffic by Mining Location Sharing Social Services"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Location sharing social services are popular among mobile users resulting in a huge social dataset available for researchers to explore.   consider location sharing social services\u2019 APIs endpoints as \u201csocial sensors\u201d that provide data revealing real world interactions, although in some cases, the number of recorded social data can be several orders of magnitude lor compared to the number of real world interactions. In the presented work  focus on check-ins at airports performing two experiments: one analyzing check-in data collected exclusively from Foursquare and another collecting additionally check-in data from Facebook.  compare the two popular location sharing social platforms\u2019 check-ins and  show that for the case of Foursquare these data can be indicative of the passengers\u2019 traffic, while their number is hundreds of times lor than the number of actual traffic observations."}]