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2016 | OriginalPaper | Buchkapitel

Diversity in Urban Social Media Analytics

verfasst von : Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar

Erschienen in: Web Engineering

Verlag: Springer International Publishing

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Abstract

Social media has emerged as one of the data backbones of urban analytics systems. Thanks to geo-located microposts (text-, image-, and video-based) created and shared through portals such as Twitter and Instagram, scientists and practitioners can capitalise on the availability of real-time and semantically rich data sources to perform studies related to cities and the people inhabiting them. Urban analytics systems usually consider the micro posts originating from within a city’s boundary uniformly, without consideration for the demographic (e.g. gender, age), geographic, technological or contextual (e.g. role in the city) differences among a platform’s users. It is well-known though, that the usage and adoption of social media profoundly differ across user segments, cities, as well as countries. We thus advocate for a better understanding of the intrinsic diversity of social media users and contents.

This paper presents an observational study of the geo-located activities of users across two social media platforms, performed over a period of three weeks in four European cities. We show how demographic, geographical, technological and contextual properties of social media (and their users) can provide very different reflections and interpretations of the reality of an urban environment.

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Vorheriges Kapitel Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory

Nächstes Kapitel Data-Aware Service Choreographies Through Transparent Data Exchange

A motivation for this selection of cities and dates will be provided in Sect. 3.2.

Face++, http://www.faceplusplus.com.

Genderize, https://genderize.io.

For instance, the bounding box of the Amsterdam area is available at http://www.geonames.org/2759794/amsterdam.html.

E.g. https://www.rolandberger.com/media/pdf/Roland_Berger_European_Capital_City_Tourism_20120127.pdf.

Al-Zahrani, M.S., Bissada, N.F., Borawski, E.A.: Obesity and periodontal disease in young, middle-aged, and older adults. J. Periodontol. 74(5), 610–615 (2003)CrossRef

Balduini, M., Bocconi, S., Bozzon, A., Valle, E.D., Huang, Y., Oosterman, J., Palpanas, T., Tsytsarau, M.: A case study of active, continuous and predictive social media analytics for smart city. In: Proceedings of the Fifth International Conference on Semantics for Smarter Cities, S4SC 2014, vol. 1280, pp. 31–46, Aachen, Germany (2014). CEUR-WS.org

Balduini, M., Bozzon, A., Valle, E.D., Huang, Y., Houben, G.: Recommending venues using continuous predictive social media analytics. IEEE Internet Comput. 18(5), 28–35 (2014)CrossRef

Bernaschina, C., Catallo, I., Ciceri, E., Fedorov, R., Fraternali, P.: Towards an unbiased approach for the evaluation of social data geolocation. In: Proceedings of the 9th Workshop on Geographic Information Retrieval, GIR 2015, pp. 10:1–10:2. ACM, New York, NY, USA (2015)

Bocconi, S., Bozzon, A., Psyllidis, A., Titos Bolivar, C., Houben, G.-J.: Social glass: a platform for urban analytics and decision-making through heterogeneous social data. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 175–178 (2015)

Bojic, I., Massaro, E., Belyi, A., Sobolevsky, S., Ratti, C.: Choosing the right home location definition method for the given dataset. In: Liu, T.-Y., et al. (eds.) SocInfo 2015. LNCS, vol. 9471, pp. 194–208. Springer, Heidelberg (2015). doi:10.1007/978-3-319-27433-1_14 CrossRef

Bozzon, A., Brambilla, M., Ceri, S., Mauri, A., Volonterio, R.: Pattern-based specification of crowdsourcing applications. In: Casteleyn, S., Rossi, G., Winckler, M. (eds.) ICWE 2014. LNCS, vol. 8541, pp. 218–235. Springer, Heidelberg (2014)

Bozzon, A., Fraternali, P., Galli, L., Karam, R.: Modeling crowdsourcing scenarios in socially-enabled human computation applications. J. Data Seman. 3(3), 169–188 (2013)CrossRef

Cheng, Z., Caverlee, J., Lee, K., Sui, D.Z.: Exploring millions of footprints in location sharing services. In: Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, pp. 81–88. AAAI (2011)

10.

Correa, T., Hinsley, A.W., De Zuniga, H.G.: Who interacts on the web?: the intersection of users personality and social media use. Comput. Hum. Behav. 26(2), 247–253 (2010)CrossRef

11.

Crampton, J.W., Graham, M., Poorthuis, A., Shelton, T., Stephens, M., Wilson, M.W., Zook, M.: Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartography Geogr. Inf. Sci. 40(2), 130–139 (2013)CrossRef

12.

Cranshaw, J., Schwartz, R., Hong, J.I., Sadeh, N.M.: The livehoods project: utilizing social media to understand the dynamics of a city. In: Breslin, J.G., Ellison, N.B., Shanahan, J.G., Tufekci, Z. (eds.) Proceedings of the 6th International AAAI Conference on Weblogs and Social Media. The AAAI Press (2012)

13.

Boyd, D., Crawford, K.: Critical questions for big data. Inf. Commun. Soc. 15(5), 662–679 (2012)CrossRef

14.

Del Bimbo, A., Ferracani, A., Pezzatini, D., D’Amato, F., Sereni, M.: Livecities: revealing the pulse of cities by location-based social networks venues and users analysis. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014 Companion, Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, pp. 163–166 (2014)

15.

Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., Ratti, C.: Geo-located Twitter as proxy for global mobility patterns. Cartography Geogr. Inf. Sci. 41(3), 260–271 (2014)CrossRef

16.

Kindberg, T., Chalmers, M., Paulos, E.: Guest editors’ introduction: urban computing. IEEE Pervasive Comput. 6(3), 18–20 (2007)CrossRef

17.

Kostakos, V., O’Neill, E.: Cityware: urban computing to bridge online and real-world social networks. In: Foth, M. (ed.) Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City. Information Science Reference, Hershey, Philadelphia, USA (2008)

18.

Lee, R., Sumiya, K.: Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, LBSN 2010, pp. 1–10. ACM, New York, NY, USA (2010)

19.

Malatesta, C.Z., Izard, C.E., Culver, C., Nicolich, M.: Emotion communication skills in young, middle-aged, and older women. Psychol. Aging 2(2), 193 (1987)CrossRef

20.

McKenzie, G., Janowicz, K., Gao, S., Gong, L.: How where is when? On the regional variability and resolution of geosocial temporal signatures for points of interest. Comput. Environ. Urban Syst. 54, 336–346 (2015)CrossRef

21.

Noulas, A., Scellato, S., Lambiotte, R., Pontil, M., Mascolo, C.: A tale of many cities: universal patterns in human urban mobility. PLoS ONE 7(5), e37027 (2012)CrossRef

22.

Noulas, A., Scellato, S., Mascolo, C., Pontil, M.: Exploiting semantic annotations for clustering geographic areas and users in location-based social networks. In: The Social Mobile Web, Papers from the ICWSM Workshop, Barcelona, Catalonia, Spain, 21 July 2011

23.

Palfrey, J., Gasser, U.: Born Digital: Understanding the First Generation of Digital Natives. Basic Books Inc., New York (2008)

24.

Paraskevopoulos, P., Palpanas, T.: Fine-grained geolocalisation of non-geotagged tweets. In: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 105–112. ACM (2015)

25.

Pater, J.A., Miller, A.D., Mynatt, E.D.: This digital life: a neighborhood-based study of adolescents’ lives online. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 2305–2314. ACM, New York, NY, USA (2015)

26.

Psyllidis, A., Bozzon, A., Bocconi, S., Titos Bolivar, C.: A platform for urban analytics and semantic data integration in city planning. In: Celani, G., Sperling, D.M., Franco, J.M.S. (eds.) Computer-Aided Architectural Design Futures. The Next City - New Technologies and the Future of the Built Environment. CCIS, vol. 527, pp. 21–36. Springer, Heidelberg (2015)CrossRef

27.

Tranos, E., Nijkamp, P.: Mobile phone usage in complex urban systems: a space-time, aggregated human activity study. J. Geogr. Syst. 17(2), 157–185 (2015)CrossRef

28.

Wakamiya, S., Lee, R., Sumiya, K.: Crowd-based urban characterization: Extracting crowd behavioral patterns in urban areas from Twitter. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, pp. 77–84. ACM, New York, NY, USA (2011)

29.

Wang, Z., Zhou, X., Zhang, D., Yang, D., Yu, Z.: Cross-domain community detection in heterogeneous social networks. Pers. Ubiquit. Comput. 18(2), 369–383 (2014)CrossRef

30.

Zheng, Y., Capra, L., Wolfson, O., Yang, H.: Urban computing: concepts, methodologies, and applications. ACM Trans. Intell. Syst. Technol. 5(3), 38:1–38:55 (2014)

Titel: Diversity in Urban Social Media Analytics
verfasst von: Jie Yang
Claudia Hauff
Geert-Jan Houben
Christiaan Titos Bolivar
Verlag: Springer International Publishing
Buch: Web Engineering
Print ISBN: 978-3-319-38790-1

Electronic ISBN: 978-3-319-38791-8

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-38791-8_19

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