Abstract | ||
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Influence maximization has recently received significant attention for scheduling online campaigns or advertisements on social network platforms. However, most studies only focus on user influence via cyber interactions while ignoring their physical interactions which are also essential to gauge influence propagation. Additionally, targeted campaigns or advertisements have not received sufficient ... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TKDE.2020.3003047 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Social networking (online),Indexes,Australia,Integrated circuit modeling,Companies,NP-hard problem | Journal | 34 |
Issue | ISSN | Citations |
4 | 1041-4347 | 8 |
PageRank | References | Authors |
0.47 | 17 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Taotao Cai | 1 | 14 | 1.56 |
Jianxin Li | 2 | 443 | 48.67 |
A. Mian | 3 | 1679 | 84.89 |
Rong-Hua Li | 4 | 381 | 33.77 |
Timos K. Sellis | 5 | 4970 | 1255.07 |
Jeffrey Xu Yu | 6 | 7018 | 464.96 |