Random seeding may influence how information spreads
Random seeding may influence how information spreads
8/9/2018
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summary
This article discusses a study conducted by researchers at Stanford University on the influence of random seeding on the spread of information. The study focused on online social networks and examined how the initial placement or seeding of information can affect its subsequent spread. The researchers found that the initial placement of information, even randomly, had a significant impact on how widely it was spread and how quickly it reached a large audience. The article highlights the implications of these findings for understanding the dynamics of information diffusion online and how it can be leveraged for marketing or public health campaigns.
tags
random seeding ꞏ information diffusion ꞏ influence ꞏ network theory ꞏ social networks ꞏ contagion ꞏ spreading dynamics ꞏ cascades ꞏ viral content ꞏ social media ꞏ information dissemination ꞏ social influence ꞏ diffusion models ꞏ computer science ꞏ data analysis ꞏ information flow ꞏ network dynamics ꞏ complex systems ꞏ computational modeling ꞏ behavioral contagion ꞏ information spreading ꞏ opinion dynamics ꞏ online behavior ꞏ network science ꞏ online social networks ꞏ information cascade ꞏ social contagion ꞏ rumor spreading ꞏ word-of-mouth ꞏ influence maximization ꞏ seed selection ꞏ information propagation ꞏ network algorithms ꞏ information diffusion models ꞏ network effects ꞏ social dynamics ꞏ online influence ꞏ communication networks ꞏ network structure ꞏ viral marketing ꞏ information transmission ꞏ social interactions ꞏ information adoption ꞏ epidemiology ꞏ behavioral modeling