Titlebook: Diffusion in Social Networks; Paulo Shakarian,Abhivav Bhatnagar,Ruocheng Guo Book 2015 The Author(s) 2015 artificial intelligence.diffusio

Suture

書目名稱Diffusion in Social Networks影響因子(影響力)




書目名稱Diffusion in Social Networks影響因子(影響力)學(xué)科排名




書目名稱Diffusion in Social Networks網(wǎng)絡(luò)公開度




書目名稱Diffusion in Social Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Diffusion in Social Networks被引頻次




書目名稱Diffusion in Social Networks被引頻次學(xué)科排名




書目名稱Diffusion in Social Networks年度引用




書目名稱Diffusion in Social Networks年度引用學(xué)科排名




書目名稱Diffusion in Social Networks讀者反饋




書目名稱Diffusion in Social Networks讀者反饋學(xué)科排名

意見一致

有偏見

Exhilarate

FIS

Affection

Affection

https://doi.org/10.1007/978-3-030-03721-5 topic from multiple fields. The availability of large social network datasets over nearly the past two decades have made it possible to explore network diffusion like never before. Having said that, the materials covered in this book is not limited to the online platforms, but rather are thought to

方便

迎合

Conserve

https://doi.org/10.1007/978-3-030-03721-5We describe different properties of these models and how these properties affect solving problems such as influence maximization and influence spread. We describe approaches to address influence maximization problem in independent cascade model and linear threshold model that rely on the maximizatio