Abstract
Location sharing social services are popular among mobile users resulting in a huge social dataset available for researchers to explore. In this paper we 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 lower compared to the number of real world interactions. In the presented work we 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. We compare the two popular location sharing social platforms’ check-ins and we show that for the case of Foursquare these data can be indicative of the passengers’ traffic, while their number is hundreds of times lower than the number of actual traffic observations.
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Bollen, J., Mao, H., Zeng, X.: Twitter Mood Predicts the Stock Market. Springer Journal of Computational Science 2(1), 1–8 (2011)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 851–860. ACM, New York (2010)
Chakrabarti, D., Punera, K.: Event summarization using tweets. In: Proceedings of the Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 66–73 (2011)
Li, Y., Steiner, M., Wang, L., Zhang, Z.L., Bao, J.: Exploring venue popularity in foursquare. In: Proceedings of IEEE INFOCOM Workshops (2013)
Komninos, A., Stefanis, V., Plessas, A., Besharat, J.: Capturing Urban Dynamics with Scarce Check-In Data. IEEE Pervasive Computing 12(4), 20–28 (2013)
Cranshaw, J., Schwartz, R., Hong, J., Sadeh, N.: The livehoods project: utilizing social media to understand the dynamics of a city. In: Proceedings of the Sixth International Conference on Weblogs and Social Media (ICWSM 2012), pp. 58–65 (2012)
Zhang, A., Noulas, A.,Scellato, S., Mascolo, C.: Hoodsquare: modeling and recommending neighborhoods in location-based social networks. In: Proceedings of the 2013 International Conference on Social Computing (SOCIALCOM 2013). IEEE Computer Society, pp. 69–74 (2013)
Silva, T., Vaz de Melo, P., Almeida, J., Salles, J., Loureiro, A.: A comparison of foursquare and instagram to the study of city dynamics and urban social behavior. In: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (UrbComp 2013), Article No 4. ACM, New York (2013)
Rösler, R., Liebig, T.: Using data from location based social networks for urban activity clustering. In: Geographic Information Science at the Heart of Europe. Lecture Notes in Geoinformation and Cartography, pp. 55–72. Springer (2013)
Phithakkitnukoon, S., Olivier, P.: Sensing urban social geography. using online social networking data. In: Proceedings of the Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 36–39 (2011)
Silva, T., Vaz de Melo, P., Almeida J., Musolesi, M., Loureiro, A.: You are what you eat (and drink): identifying cultural boundaries by analyzing food & drink habits in foursquare. In: Proceedings of 8th AAAI Intl. Conf. on Weblogs and Social Media (ICWSM 2014) (2014)
Georgiev, P., Noulas, A., Mascolo, C.: Where businesses thrive: predicting the impact of the olympic games on local retailers through location-based services data. In: Proceedings of 8th AAAI Intl. Conf. on Weblogs and Social Media (ICWSM 2014) (2014)
Karamshuk, D., Noulas, A., Scellato, S., Nicosia, V., Mascolo, C.: Geo-spotting: mining online location-based services for optimal retail store placement. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013), pp. 793–801. ACM, New York (2013)
Cramer, H., Rost, M., Holmquist, L.E.: Performing a check-in: emerging practices, norms and ‘conflicts’ in location-sharing using foursquare. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI 2011), pp. 57–66. ACM, New York (2011)
Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., Zimmerman, J.: I’m the mayor of my house: examining why people use foursquare - a social-driven location sharing application. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2011), pp. 2409–2418. ACM, New York (2011)
Cheng, Z., Caverlee, J., Lee, K., Sui, D.: Exploring millions of footprints in location sharing services. In: Proceedings of the Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 81–88 (2011)
Rost, M., Barkhuus, L., Cramer, H., Brown, B.: Representation and communication: challenges in interpreting large social media datasets. In: Proceedings of the 2013 conference on Computer supported cooperative work (CSCW 2013), pp. 357–362. ACM, New York (2013)
Wang, S., Stefanone, M.: Showing Off? Human Mobility and the Interplay of Traits, Self-Disclosure, and Facebook Check-Ins. Social Science Computer Review 31(4), 437–457 (2013)
Wang, S.: “I Share, Therefore I Am”: Personality Traits, Life Satisfaction, and Facebook Check-Ins. Cyberpsychology, Behavior, and Social Networking 16(12), 870–877 (2013)
Halpern, N.: Lapland’s Airports: Facilitating the Development of International Tourism in a Peripheral Region. Scandinavian Journal of Hospitality and Tourism 8(1), 25–47 (2008). Taylor & Francis
Wang, M., Song, H.: Air Travel Demand Studies: A Review. Journal of China Tourism Research 6(1), 29–49 (2010)
Vanauken, K.: Using social media to improve customer engagement and promote products and services. Journal of Airport Management 9(1), 109–117 (2015)
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Garofalakis, J., Georgoulas, I., Komninos, A., Ntentopoulos, P., Plessas, A. (2015). Sensing Airports’ Traffic by Mining Location Sharing Social Services. In: Daniel, F., Diaz, O. (eds) Current Trends in Web Engineering. ICWE 2015. Lecture Notes in Computer Science(), vol 9396. Springer, Cham. https://doi.org/10.1007/978-3-319-24800-4_11
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DOI: https://doi.org/10.1007/978-3-319-24800-4_11
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