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A Balanced Method for Budgeted Influence Maximization
2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering
With the flourish of Web-based large Online Social Networks (OSNs), people on OSNs can easily yield influence on others. Finding how the influence spreads and maximizing influence spread within OSNs have been extensively studied. State-of-the-art researches suffer two defects: (a) need to acquire the topological structure of the network, which is impractical for the continuously changing networks in real life and thus can not balance very well between influence spread and running time; (b)
doi:10.18293/seke2015-157
dblp:conf/seke/XuZHX15
fatcat:ug73pvddhzct5lorct7v35pfe4