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Erschienen in:
Exploring the Analytics Frontiers Through Research and Pedagogy Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

10. Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas

verfasst von : Johannes Bendler, Tobias Brandt, Dirk Neumann

Erschienen in: Analytics and Data Science

Verlag: Springer International Publishing

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Abstract

The rapid and ongoing evolution of mobile devices allows for increasing ubiquity of online handhelds, yet boosting the recent growth of social platforms. This development facilitates participation in social media for an enormous amount of individuals independently from time and location. When navigating through a city and especially when following activities worthy to be shared with others, people uncover their traces in both geographical and temporal dimension. Using these traces to spot popular areas in a metropolitan region is valuable to a broad variety of applications, reaching from city planning to venue recommendation and investment. We propose a density-based method to determine the attractiveness of areas based solely on spatial and content characteristics of Twitter activity. Furthermore, we show the relation of attached images, videos, or linked places to the activity users are engaged in and assess the explanatory power of Twitter messages in a geographical context.

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Vorheriges Kapitel Whispering on Social Media
Nächstes Kapitel The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter
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Metadaten
Titel
Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas
verfasst von
Johannes Bendler
Tobias Brandt
Dirk Neumann
Copyright-Jahr
2018
Buch
Analytics and Data Science

Print ISBN: 978-3-319-58096-8

Electronic ISBN: 978-3-319-58097-5

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-58097-5_10