Using Social Media Analysis to Discover Mobility Patterns in Public Events

Speaker:  Paolo Trunfio – Rende, Italy
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

The widespread use of social media platforms such as Twitter and Instagram allows scientists to collect huge amount of data posted by people interested in a given topic or attending a popular event. This data can be analyzed to infer patterns and trends about people behaviors related to a topic or an event on a very large scale. Social media posts are often tagged with geographical coordinates or other information that allows identifying user positions, this way enabling the discovery of mobility patterns analysis using trajectory mining techniques. This lecture describes a methodology for discovering behavior and mobility patterns of users attending large-scale public events, by collecting and analyzing social media posts. The methodology is demonstrated through two case studies. The first one is an analysis of geotagged tweets for learning the behavior of people attending the 2014 FIFA World Cup. The second one is a mobility pattern analysis on the Instagram users who visited EXPO 2015. In both cases, a very high correlation was measured between official attendee numbers and those produced by our analysis, which shows the effectiveness of the proposed methodology and the accuracy of the results.

About this Lecture

Number of Slides:  60
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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