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Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks

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Bibliographic Details
Published in:Computational Social Networks
Format: Online Article RSS Article
Published: 2021
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container_title Computational Social Networks
description
discipline_display Social Web
discipline_facet Social Web
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Computational Social Networks
publishDate 2021
publishDateSort 2021
record_format rss_article
spellingShingle Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
Social Web
General
Social Web
sub_discipline_display General
sub_discipline_facet General
subject_display Social Web
General
Social Web
Social Web
General
Social Web
subject_facet Social Web
General
Social Web
title Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_auth Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_full Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_fullStr Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_full_unstemmed Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_short Influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
title_sort influence network design via multi-level optimization considering boundedly rational user behaviours in social media networks
topic Social Web
General
Social Web
url https://link.springer.com/article/10.1186/s40649-020-00082-9