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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Pattern Exploration And Event Detection From Geo-Tagged Tweets, Yugian Huang
Pattern Exploration And Event Detection From Geo-Tagged Tweets, Yugian Huang
Open Access Theses
Twitter is one of the most famous social networking services in the world. With 313 million monthly active users, Twitter can produce around 6,000 tweets per second, which corresponds to around 500 million tweets per day and around 200 billion tweets per year. Besides being a successful company, Twitter provides a great opportunity to scientists from various disciplines. Twitter allows users to tweet with a location tag, which enables the connection of virtual networks to the events happening in real life. Because of the massive amount of valuable geographic information, location-based services, targeted advertising, and social network studies could benefit …
Human Mobility Patterns Probability Measurement: An Example Using Twitter Data At Purdue, Yuqian Huang
Human Mobility Patterns Probability Measurement: An Example Using Twitter Data At Purdue, Yuqian Huang
Purdue GIS Day
Nowadays, social tools are really important to people's daily lives. And it is also valuable to data researcher that Twitter, Facebook and other social tools are emerging as a key resource of free and open volunteered geographic information (VGI). And this research is trying to take advantages of twitter data around Purdue campus. It tracks the most active twitter users in order to find out their behavior patterns and to provide probability of when and where the users will show up.
From Social Media Data To Human Behavior Patterns: Analyzing Spatio-Temporal Dynamics Of Tweets In Midwest College Towns, Yue Li, Jie Shan
From Social Media Data To Human Behavior Patterns: Analyzing Spatio-Temporal Dynamics Of Tweets In Midwest College Towns, Yue Li, Jie Shan
Purdue GIS Day
Twitter, the most popular micro-blogging site, having over 500 million registered users as of 2012 and creating over 340 million tweets per day, has caught the attention of socio-geographic researchers. With its availability from mobile phones, Twitter allows users to send messages with their geographic coordinates. Thus, with respect to the huge quantity and large diversity of crowds publishing tweets, massive valuable geosocial knowledge can be extracted, which can provide important implications for various applications, such as human geography, urban science, location-based services, targeted advertising, content delivery networks, and social media research. This study aims to uncover human behavior patterns, …