Marginal Gains to Maximize Content Spread in Social Networks

IEEE Transactions on Computational Social Systems(2019)

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摘要
The growing importance of social network for sharing and spreading various contents is leading to the changes in the way of information diffusion. To what extent can social content be diffused highly depends on the size of seed nodes and connectivity of the network. If the seed set is predetermined, then the best way to maximize the content spread is to add connectivities among the users. The exis...
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关键词
Social networking (online),Boosting,Computational modeling,Integrated circuit modeling,Approximation algorithms,Heuristic algorithms,Upper bound
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