Exploring Interpersonal Influence by Tracking User Dynamic Interactions.

IEEE Intelligent Systems(2017)

引用 6|浏览49
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摘要
As one of the most popular social media platforms today, Twitter provides people with an effective way to communicate and interact with each other. Through these interactions, influence among users gradually emerges and changes people's opinions. Although previous work has studied interpersonal influence as the probability of activating others during information diffusion, they ignore an important...
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关键词
Hidden Markov models,Twitter,Integrated circuit modeling,Computational modeling,Correlation,Context awareness,Social network services,Behavioral sciences
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