DDSE: A novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen… - Journal of Network and …, 2018 - Elsevier
Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …
被引用次数：129 相关文章

DDSE: a novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen, N Lu - 2018 - dro.deakin.edu.au
Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …

DDSE: A novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming… - Journal of Network and …, 2018 - opus.lib.uts.edu.au
Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …

[引用][C] DDSE: A novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen… - Journal of Network and …, 2018 - cir.nii.ac.jp
DDSE: A novel evolutionary algorithm based on degree-descending search strategy for
influence maximization in social networks | CiNii Research CiNii 国立情報学研究所 学術情報 …

DDSE

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen… - Journal of Network and …, 2018 - dl.acm.org
Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …

DDSE: a novel evolutionary algorithm based on degree-descending search strategy for influence maximization in social networks

L Cui, H Hu, S Yu, Q Yan, Z Ming, Z Wen, N Lu - 2018 - dro.deakin.edu.au
Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …