Use Random Walk Analysis to Understand Spatial-Social Structures of Social Media Discussion

Authors: Xuebin Wei*, James Madison University, Xinyue Ye, New Jersey Institute of Technology
Topics: Geographic Information Science and Systems, Spatial Analysis & Modeling, Communication
Keywords: Random Walk, Social Media, Twitter, Network Analysis, Gun Control
Session Type: Paper
Day: 4/5/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Congressional B, Omni, West
Presentation File: No File Uploaded

People’s conversation on social media is affected by their immediate social connections online and also their physical environment in the geography spaces. This study employed an innovative network metrics, named Random Walk Value, to examine the spatial-social structure of social media discussions. Compared with other popular network indices, Random Walk Algorithm considers both spatial structural (geographic location of Twitter users) and topological characteristics (Social connections) of social networks and also the characteristics of network components, e.g., the popularity of tweets and twitter users. The debates of gun control in the United States on Twitter are collected and analyzed with the Random Walk Values.

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