Random seeding may influence how information spreads

Random seeding may influence how information spreads

8/9/2018

link

https://engineering.stanford.edu/magazine/article/random-seeding-may-influence-how-information-spreads

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

seed selection ꞏ influence maximization ꞏ epidemiology ꞏ social contagion ꞏ word-of-mouth ꞏ online social networks ꞏ information transmission ꞏ information spreading ꞏ contagion ꞏ information flow ꞏ rumor spreading ꞏ network science ꞏ information dissemination ꞏ social dynamics ꞏ network dynamics ꞏ network effects ꞏ influence ꞏ viral content ꞏ network structure ꞏ information diffusion models ꞏ information cascade ꞏ information adoption ꞏ cascades ꞏ social influence ꞏ complex systems ꞏ network theory ꞏ social media ꞏ behavioral contagion ꞏ information diffusion ꞏ random seeding ꞏ diffusion models ꞏ social networks ꞏ online behavior ꞏ information propagation ꞏ behavioral modeling ꞏ data analysis ꞏ network algorithms ꞏ viral marketing ꞏ communication networks ꞏ computational modeling ꞏ opinion dynamics ꞏ social interactions ꞏ computer science ꞏ online influence ꞏ spreading dynamics