Characterizing Traveling Fans: Semantically-Enriched Trajectory Analysis of Twitter Data

Authors: Yanan Xin*, Department of Geography, The Pennsylvania State University, Alan M. MacEachren, Department of Geography, The Pennsylvania State University
Topics: Geographic Information Science and Systems, Recreational and Sport Geography, Urban Geography
Keywords: Trajectory Analysis, Topic Modelling, Location-Based Social Networks, Event Attendance
Session Type: Poster
Day: 4/6/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Characterising event attendees’ travel patterns is key for understanding the dynamics of social events in urban area. The field of study however is faced with the lack of travel diary data. Location-based social networking services generate massive event check-in data that provides a new opportunity to study users’ travel patterns to events. In this study, we propose a method that characterises event attendees through trajectory and semantic analysis of Twitter data, using a college football event as a case study. The travel patterns augmented by semantics offered insights about user’s interests, travel motives and travel patterns related to event attendance. The findings demonstrate that our method holds promise in revealing the dynamics of events that generate large gatherings of individuals (not just sports events) through utilising location-based social networking data.

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