"Being an influencer is hard: The complexity of influence maximization in ..."

Argyrios Deligkas et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.IC.2024.105171

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/iandc/DeligkasDEGS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/iandc/DeligkasDEGS24
Argyrios Deligkas, Michelle Döring, Eduard Eiben, Tiger-Lily Goldsmith, George Skretas:
Being an influencer is hard: The complexity of influence maximization in temporal graphs with a fixed source. Inf. Comput. 299: 105171 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.