Efficient and effective influence maximization in social networks: a hybrid-approach

YY Ko, KJ Cho, SW Kim - Information Sciences, 2018 - Elsevier
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …
被引用次数：44 相关文章
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[PDF][PDF] Efficient and effective influence maximization in social networks: A hybrid-approach

YY Ko, KJ Cho, SW Kim - 2018 - yy-ko.github.io
abstract Influence Maximization (IM) is the problem of finding a seed set composed of k
nodes that maximize their influence spread over a social network. Kempe et al. showed the …

Efficient and effective influence maximization in social networks: A hybrid-approach

YY Ko, KJ Cho, SW Kim - INFORMATION SCIENCES, 2018 - scholarworks.bwise.kr
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …

Efficient and effective influence maximization in social networks:: A hybrid-approach

YY Ko, KJ Cho, SW Kim - 2018 - dl.acm.org
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …

Efficient and effective influence maximization in social networks: A hybrid-approach

YY Ko, KJ Cho, SW Kim - INFORMATION SCIENCES, 2018 - repository.hanyang.ac.kr
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …

Efficient and effective influence maximization in social networks: A hybrid-approach

YY Ko, KJ Cho, SW Kim - Information Sciences, 2018 - infona.pl
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …