For many users on social networks, one of the goals when broadcasting content is to reach a large audience. The probability of receiving reactions to a message differs for each user and depends on various factors, such as location, daily and weekly behavior patterns and the visibility of the message. While previous work has focused on overall network dynamics and message flow cascades, the problem
Anitha Kannan , Simon Baker , Krishnan Ramnath , Juliet Fiss , Dahua Lin , Lucy Vanderwende , Rizwan Ansary , Ashish Kapoor , Qifa Ke , Matt Uyttendaele , Xin-Jing Wang , Lei Zhang KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining | August 2014 Published by ACM Press Publication Images can be used to convey many different concepts or illustr
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