Is there any good algorithm which can predict the process of content dissemination in a social network? For simplicity, we can assume that the network follow power law distribution, i.e., generated using preferential attachment model and we already know the hubs (influential users) in the current network.
Not sure about general algorithm but perhaps these links could be of interest
http://www2009.eprints.org/73/1/p721.pdf
https://arxiv.org/pdf/1403.1486
Article Predicting the Content Dissemination Trends by Repost Behavi...
Learning the flow of information within human organiztions is critical to understanding the diffusion of information, consensus building, coalition formation, etc. Tracking information flow within digital media is already possible, and other researchers have ‘mined’ the structure of such digital communications and shown that informal networks coexist with the formal structure of an institution and these informal networks enhance the productivity of the formal organizations. please read the article in the link bellow may it help you find a good algorithm which can predict the process of content dissemination in a social network.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.464.3507&rep=rep1&type=pdf
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