Influence maximization on social graphs: A survey
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
Influence maximization on social graphs: A survey
Y LI, J FAN, Y WANG, KL TAN - IEEE Transactions on …, 2018 - ink.library.smu.edu.sg
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
Influence Maximization on Social Graphs: A Survey
Y Li, J Fan, Y Wang, KL Tan - IEEE Transactions on Knowledge & …, 2018 - computer.org
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
[PDF][PDF] TAN, Kian-Lee. Influence maximization on social graphs: A survey.(2018)
Y LI, J FAN, Y WANG - IEEE Transactions on Knowledge and Data … - scholar.archive.org
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
[引用][C] Influence Maximization on Social Graphs: A Survey
Y Li, J Fan, Y Wang, KL Tan - IEEE Transactions on Knowledge and Data …, 2018 - cir.nii.ac.jp
Influence Maximization on Social Graphs: A Survey | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
[PDF][PDF] TAN, Kian-Lee. Influence maximization on social graphs: A survey.(2018)
Y LI, J FAN, Y WANG - IEEE Transactions on Knowledge and Data … - core.ac.uk
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
[PDF][PDF] Influence Maximization on Social Graphs: A Survey
Y Li, J Fan, Y Wang, KL Tan - researchgate.net
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
[PDF][PDF] Influence Maximization on Social Graphs: A Survey
Y Li, J Fan, Y Wang, KL Tan - iir.ruc.edu.cn
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …
[PDF][PDF] TAN, Kian-Lee. Influence maximization on social graphs: A survey.(2018)
Y LI, J FAN, Y WANG - IEEE Transactions on Knowledge and Data … - ink.library.smu.edu.sg
Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …
network to maximize the expected number of influenced users (called influence spread), is a …