Mining Information Spreading Based on Users' Retweet Behavior in Twitter

Abstract:

Twitter is one of the largest social networks in the world. People could share contents on it. When we interact with each other, the information spreads. And its users retweet behavior that makes information spread so fast. So there comes an important question: Whats about users retweet behavior Could we simulate information spreading in twitter by retweeting behavior We crawl twitter and mine information spreading based on users retweet behavior in it. Through our dateset, we verify the power-law distribution of the retweet-width and retweet-depth. At the same time, we study the correlation between retweet-width and retweet-depth. Finally, we propose an information spreading model to simulate the information spreading process in twitter and get a good result.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 2866-2870
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.2866
• Online since: August 2013
• Authors: Rong Ze Xia, Yan Jia, Wang Qun Lin, Hu Li
• Keywords: Information Spreading, Power-Law Distribution, Retweet Behavior, Social Network

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