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Social and Behavioral Sciences Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Levente Juhasz
Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Levente Juhasz
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
GIS Center
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
GIS Center
Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning And Crowdsourcing, Huan Ning
Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning And Crowdsourcing, Huan Ning
Theses and Dissertations
This thesis aims to implement a prototype system to screen flooding photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision makers. This system is designed for the application to the real social media images, including several key functions: tweets downloading, image downloading, flooding photo detection, and human verification via a WebGIS application. In this study, a training dataset of 5,000 flooding photos was built based on an iterative method; a convolutional neural network (CNN) was then trained and applied to detect flooding photos. Also, …